Functions Modeling Change: A Preparation for Calculus
Average customer rating: 3 out of 5 stars
  • HORRIBLE BOOK!
  • from a student...
  • Wonderful precalculus deep inside the functions and modeling
  • Incomplete, discouraging, Unhelpfull book that only hinders the learning process
  • A travesty for the money
 Functions Modeling Change: A Preparation for Calculus
Eric Connally , Deborah Hughes-Hallett , Andrew M. Gleason , Philip Cheifetz , Daniel E. Flath , Patti Frazer Lock , Karen Rhea , Carl Swenson , Frank Avenoso , Ann Davidian , Brigitte Lahme , Jerry Morris , Pat Shure , Katherine Yoshiwara , and Elliot J. Marks
Manufacturer: Wiley
ProductGroup: Book
Binding: Paperback

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Accessories:
  1. Student Solutions Manual to accompany Functions Modeling Change, 2nd Edition Student Solutions Manual to accompany Functions Modeling Change, 2nd Edition
  2. Graphing Calculator Guide for the TI-83 to accompany Functions Modeling Change: A Preparation for Calculus, 2nd Edition Graphing Calculator Guide for the TI-83 to accompany Functions Modeling Change: A Preparation for Calculus, 2nd Edition
  3. Student Study Guide to accompany Functions Modeling Change: A Preparation for Calculus, 2nd Edition Student Study Guide to accompany Functions Modeling Change: A Preparation for Calculus, 2nd Edition

ASIN: 0471456535

Book Description

This is a new edition of the precalculus text developed by the Consortium based at Harvard University and funded by a National Science Foundation Grant. The text is thought-provoking for well-prepared students while still accessible to students with weaker backgrounds. It provides numerical and graphical approaches as well as algebraic approaches to give students another way of mastering the material. This approach encourages students to persist, thereby lowering failure rates. A large number of real-world examples and problems enable students to create mathematical models that will help them understand the world in which they live.

The focus is on those topics that are essential to the study of calculus and these topics are treated in depth.

Customer Reviews:

1 out of 5 stars HORRIBLE BOOK!.......2007-06-27

I am currently taking pre-cac in summer school and I fear I will have to drop the class! This book is ABSOLUTELY HORRIBLE in presenting concepts and helping to guide you through the process on figuring things out. There is no reason why I should read a book, be confused, read it again, be more confused, ask friends to read it and have them be confused. I don't know how educators get away with writting books of such low quality-- and I have even less of an idea how a school chooses to use such a book. Minimally, instructors should be looking here to see the absolutely horrible feedback on this book and CHOOSE A DIFFERENT TEXT! It seems the only reason why my summer school is using this book is due to the fact that it was written by some professors here. For such a prestigous university that surely strikes of a highly unintelligent decision.

4 out of 5 stars from a student..........2007-06-25

I did appreciate the applications approach, but I felt like with almost every lesson that there were not nearly enough practice problems. A formula would be introduced with only two practice problems, only one of which is in the back of the book (of course). In my study groups, we would work those same two problems a few times and feel confident, then bomb the exam. If I remember correctly, I believe you can order an extra workbook in this series. I would recommend this text IN ADDITION to a workbook.

The biggest problem that I saw with my department adopting this textbook is that the instructors really do not teach the applications approach. I would go home to study and find that the text did not follow at all what we were covering in class. The innovative approach of the textbook was thereby lost as we flipped back and forth between the chapters trying to cobble together problems to match lectures.

5 out of 5 stars Wonderful precalculus deep inside the functions and modeling.......2006-05-10

I really have difficulties to understand some reviewers given one star for such a wonderfull book. If you read this book before Uni, you will have a stable ground for calculus.

All frequently used functions and their practical usage as modelling tools are lucidly explained. I finally know what hyperbolic functions are, I finally know how the path from given data to an appropriate model. I finally know how can I practically sketch seemingly complex but simple functions.

It's strength based on model oriented approach to functions. This has pratical value for all candidate engineers...

Without any doubt I'll give five stars to acknowledge the authors.

1 out of 5 stars Incomplete, discouraging, Unhelpfull book that only hinders the learning process.......2006-04-27

This is probably the most incoplete, inarticulate book I've ever used so far in my 3 years in college. It fails to COMPLETELY explain ALL THE MANY concepts you will ,sort-of ummmm, need to pass the class,tests or even complete the problems within the book. Expect to buy at least one other pre-calc text to clearly explain EVERYTHING this book consistently DOESN'T. This book is not a student-friendly one, its more of an EXPERT MATHEMETICIAN-FRIENDLY text book, written for people who already have lots of experience with pre-calculous. First time precalculous students should not actually expect to learn from this book or be able to count on this book as a reliable source to turn to during homework assignments or study sessions... As this book consistently fails to articulate even the most simple of precalculous concepts. If you don't beleive mine along with most other negative ratings of this book, go ahead and compare this book to almost any other precalc text book for yourself. You'll quickly see that EVEN THOUGH YOU'VE PAID A GENEROUS AMOUNT OF MONEY FOR THIS BOOK TO TEACH YOU, this book FAILS TO PERFORM EVERY SINGLE STEP OF THE WAY, PARTICULARLY when you need it to CLEARLY EXPLAIN SOMETHING TO YOU most. REALLY THIS BOOK ONLY MAKES IT HARDER TO UNDERSTAND ANYTHING IT ATTEMPTS TO EXPLAIN. My recommendation is that you buy "THE COMPLETE IDIOTS GUIDE TO PRECALCULOUS" by W. Michael Kelly, an author who thouroughly prooves his TEACHING SKILLS, COMPETENCE and ABILITY TO SUCCESFULLY ARTICULATE concepts so students can actually get some learning out of the time they spend reading his CLEAR, HELPFULL EXPLENATIONS that will actually help you in precalculous.

2 out of 5 stars A travesty for the money.......2006-01-19

The only reason I give it two stars is that the word problems and models are interesting and realistic. The student solutions manual is a rip-off because it does not model each type of problem, nor does it lend itself to greater understanding and clarification. I usually get straight "A's" in math courses because I pour all effort necessary into homework and understanding. I just find myself being frustrated every time I open this book. The examples in each chapter just give me a headache. It is assuming and poorly written. Colleges that require this book for courses in pre-calc and trig should think twice.
Managerial Decision Modeling with Spreadsheets and Student CD Package (2nd Edition)
Average customer rating: 5 out of 5 stars
  • Good for the real world too
 Managerial Decision Modeling with Spreadsheets and Student CD Package (2nd Edition)
Nagraj Balakrishnan , Barry Render , and Ralph M Stair
Manufacturer: Prentice Hall
ProductGroup: Book
Binding: Hardcover

StatisticsStatistics | Economics | Business & Investing | Subjects | Books
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ASIN: 013226806X

Customer Reviews:

5 out of 5 stars Good for the real world too.......2007-03-02

This book was meant for use within a university classroom setting.

Surprisingly, unlike most textbooks, you can actually use this book in the real world. For example, a lot of business plan books and articles casually mention business forecasting. Unfortunately, the large majority of them barely mention any details on how to construct them. Well this book covers it in depth. As for other applications with the use of MS Excel, the book will show you the optimal amount of money you should put down into a select number of investments, how to perform project scheduling (with out MS Project), and the list goes on....

This is a good book.
The Visual Display of Quantitative Information
Average customer rating: 4.5 out of 5 stars
  • Tufte's Classic Is A Must Read In Our Statistical Times
  • Essential for anyone working with charts and graphs
  • Good ideas, nice layout, kinda rambling though
  • Fascinating. Quick. Friendly for the non-expert
  • An absolutely superb book.
 The Visual Display of Quantitative Information
Edward R. Tufte
Manufacturer: Graphics Press
ProductGroup: Book
Binding: Hardcover

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ASIN: 096139210X

Amazon.com

A timeless classic in how complex information should be presented graphically. The Strunk & White of visual design. Should occupy a place of honor--within arm's reach--of everyone attempting to understand or depict numerical data graphically. The design of the book is an exemplar of the principles it espouses: elegant typography and layout, and seamless integration of lucid text and perfectly chosen graphical examples. Very Highly Recommended.

Customer Reviews:

5 out of 5 stars Tufte's Classic Is A Must Read In Our Statistical Times.......2007-10-06

This book established Tufte as the authority on the subject of graphs, charts, tables, indeed the display of data by any means. The book is readable by most anyone and will add to your library and your ability to make your way intelligently and critically through the flood of statistical and graphical arguments and pitches placed before us every day.

Simply and confidently Tufte lays out the basics of the right and the wrong, the good and the bad (and occasionally ugly) regarding graphical depictions of data and information.

This book (The Visual Display of Quantitative Information, 2nd edition )is the first and the foundation of four books by Tufte (I. The Visual Display of Quantitative Information, 2nd edition. II. Envisioning Information. III. Visual Explanations: Images and Quantities, Evidence and Narrative. IV. Beautiful Evidence.) that should be read in the order of publication. You will be a wiser person for the effort.

His short book, "The Cognitive Style of PowerPoint: Pitching Out Corrupts Within", while not part of the "four volume set" is a withering attack on the ubiquitous software program, an attack based on the fact that it encourages the user to break nearly every principle that Tufte has spent the last 20 years elucidating in his books regarding the reading and the writing and presentation of well thought out and presented arguments and reports. I've read it and was convinced; PP constrains complex thought, argument, and statistical (indeed any form of) reasoning with its "bullet points", and is a very inefficient means of depicting information as well, cluttering the display space with useless clip art, huge fonts, and often misleading cookie-cutter graphs. (His satirical PP presentation of the Gettysburg Address humorously makes his points, while his analysis of a very real NASA PowerPoint slide from the decision-making meetings regarding the danger to the Space Shuttle Columbia before its destruction on re-entry makes his points in a very sobering manner.)

All this being said, The Visual Display of Quantitative Information is a Great Book. In the internet age we all spend many hours per week looking at visual depictions of information. Tufte's book will make you a more critical user of nearly everything, from the newspaper, to websites, to work presentations, the sports pages, and even your car's speedometer and other gauges. It is the foundation to all of his published work from the last two decades.

Buy this book!

5 out of 5 stars Essential for anyone working with charts and graphs.......2007-03-10

This book fuses mathematical information with art to tell the underlying story and get your message across to the viewer. I would reccommend it to anyone responsible for conveying objective information to others.

4 out of 5 stars Good ideas, nice layout, kinda rambling though.......2007-03-08

This book was very nicely laid out, and the ideas for presenting were good. Sometimes it was a little hard to follow because it rambled a little. But I did get some good pointers that I can use to visualize my data.

5 out of 5 stars Fascinating. Quick. Friendly for the non-expert.......2007-01-09

The book strikes a good balance between major concepts and academic nitty-gritty.

5 out of 5 stars An absolutely superb book........2006-11-23

Tufte presents an examination of a frankly under-esteemed method of data analysis that can be accurately described as passionate. As a Behavioural Scientist trained in sophisticated methods of statistical analysis, I previously was arrogantly inclined to regard charts and graphs as simplistic and naive approaches to data interpretation. However, I now apprehend the undeniable utility of graphical representation, and have acquired a fascination with the field through Tufte's contagious enthusiasm.

If you work with data of any form, it is IMPERATIVE that you read this book.
A Step-by-Step Approach to Using the SAS System for Factor Analysis and Structural Equation Modeling
Average customer rating: 5 out of 5 stars
  • Very Good
  • Absolutely outstanding
  • Easy to read
  • Excellent book
  • Thank goodness for this book
 A Step-by-Step Approach to Using the SAS System for Factor Analysis and Structural Equation Modeling
Larry Hatcher
Manufacturer: SAS Publishing
ProductGroup: Book
Binding: Paperback

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ASIN: 1555446434

Book Description

Packed with concrete examples, Hatcher's book provides an introduction to more advanced statistical procedures and includes handy appendices that give basic instruction in using the SAS System. Novice SAS users will find all they need to master SAS basics and move into advanced statistical analyses in this one book. Featured is a simple, step-by-step approach to testing structural equation models with latent variables using the CALIS procedure. The following topics are explained in easy-to-understand terms: exploratory factor analysis, principal component analysis, and developing measurement models with confirmatory factor analysis. Other covered topics of note include "LISREL-type" analyses with the user-friendly PROC CALIS and solving problems encountered in real-world social science research.

Supports releases 6.09 and higher of SAS software.

Customer Reviews:

5 out of 5 stars Very Good .......2007-08-06

More detailed explanation of every subject discussed. Nothing was assummed. The appendix include vital information for new SAS users.

5 out of 5 stars Absolutely outstanding.......2007-05-23

This is the single best statistics text I've ever read. It's extremely easy to follow, very practical, and gives outstanding examples. Everything is so clearly described in the book that one might call it Factor analysis and SEM for Dummies. I only wish that the book covered nonrecursive SEM models.

5 out of 5 stars Easy to read.......2006-11-03

Very easy to read. Examples are simple and effective. The book explains the statistical concepts as well as the SAS programming tricks. In fact, the book provides complete code - you will be able to get good amount of analysis done just by copying that code. However, you also need to buy the "The Little SAS Book" if you never used SAS before.

5 out of 5 stars Excellent book.......2003-05-01

This outstanding book was one of the mainstays for my Ph.D. dissertation. It explain factor analysis and SEM techniques in a clear and effective way, with an hands-on approach that guides the reader during all the data analysis and result interpretation phases.

5 out of 5 stars Thank goodness for this book.......2002-10-21

I really needed this for my dissertation. As a computer scientist who is using statistically-based data mining techniques in my PhD dissertation, I needed a good "Quick Course" in factor analysis. More important than just "what is factor analysis", I needed to know how to implement my ideas in SAS. This book did the trick. Now let's hope my advisors think so. :)
Statistics for Business: Data Analysis and Modeling (Duxbury Series in Business Statistics and Decision Sciences)
Average customer rating: Not rated
    		Statistics for Business: Data Analysis and Modeling (Duxbury Series in Business Statistics and Decision Sciences)
    Jonathan D. Cryer , and Robert B. Miller
    Manufacturer: South-Western College Pub
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    Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming (Multivariate Applications Series)
    Average customer rating: 4.5 out of 5 stars
    • Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming (Multivariate Applications Series)
    • Great Resource
    • wonderful if familiar w/stats + new to sem
    		 Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming (Multivariate Applications Series)
    Barbara M. Byrne
    Manufacturer: Lawrence Erlbaum
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    Book Description

    This book illustrates the ease with which AMOS 4.0 can be used to address research questions that lend themselves to structural equation modeling (SEM). This goal is achieved by: 1) presenting a nonmathematical introduction to the basic concepts and applications of structural equation modeling; 2) demonstrating basic applications of SEM using AMOS 4.0; and 3) highlighting features of AMOS 4.0 that address important caveats related to SEM analyses.

    Written in a "user-friendly" style, the author "walks" the reader through 10 SEM applications from model specification to estimation to the assessment and interpretation of the output. Each of the book's applications is accompanied by:
    *a statement of the hypothesis being tested;
    *a schematic representation of the model under study;
    *the use and function of a wide variety of icons and pull-down menus;
    *a full explanation of related AMOS Graphic input models and output files;
    *a model input file based on AMOS BASIC; and
    *the published reference from which each application was drawn.

    Customer Reviews:

    5 out of 5 stars Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming (Multivariate Applications Series).......2007-02-21

    Great book, easy to read. It goes well as a companion book about SEM with a more mathematically heavy text. The author makes using AMOS easy! I've already shown my Professor something about AMOS he didn't know!

    5 out of 5 stars Great Resource.......2006-01-29

    If you are looking for a good resource on learning how to use AMOS for structural equation modeling, this is definitely the book. It is easy to understand and well laid out. Well recommended, especially for teaching SEM to students.

    4 out of 5 stars wonderful if familiar w/stats + new to sem.......2001-08-07

    This book is a wonderful guide to understanding a good range of basics about sem, getting models to work with Amos, and interpreting your output. You will need to be familiar with one of the stats packages that Amos is compatible with. Very much user-friendly in this complicated topic. All of the statistically-related and theory-related aspects are well-referenced, so you can find sources to reference for different aspects of sem. A great book to fill the gap between the Amos user's manual and books on sem in general. (contact Erlbaum about educ pricng.)
    Financial Modeling with Crystal Ball and Excel (Wiley Finance)
    Average customer rating: 4 out of 5 stars
    • goes beyond deterministic assumptions
    • Financial Modeling with Crystal Ball and Excel
    		 Financial Modeling with Crystal Ball and Excel (Wiley Finance)
    John Charnes
    Manufacturer: Wiley
    ProductGroup: Book
    Binding: Paperback

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    ASIN: 0471779725

    Book Description

    Praise for
    Financial Modeling with Crystal Ball(r) and Excel(r)

    "Professor Charnes's book drives clarity into applied Monte Carlo analysis using examples and tools relevant to real-world finance. The book will prove useful for analysts of all levels and as a supplement to academic courses in multiple disciplines."
    -Mark Odermann, Senior Financial Analyst, Microsoft

    "Think you really know financial modeling? This is a must-have for power Excel users. Professor Charnes shows how to make more realistic models that result in fewer surprises. Every analyst needs this credibility booster."
    -James Franklin, CEO, Decisioneering, Inc.

    "This book packs a first-year MBA's worth of financial and business modeling education into a few dozen easy-to-understand examples. Crystal Ball software does the housekeeping, so readers can concentrate on the business decision. A careful reader who works the examples on a computer will master the best general-purpose technology available for working with uncertainty."
    -Aaron Brown, Executive Director, Morgan Stanley, author of The Poker Face of Wall Street

    "Using Crystal Ball and Excel, John Charnes takes you step by step, demonstrating a conceptual framework that turns static Excel data and financial models into true risk models. I am astonished by the clarity of the text and the hands-on, step-by-step examples using Crystal Ball and Excel; Professor Charnes is a masterful teacher, and this is an absolute gem of a book for the new generation of analyst."
    -Brian Watt, Chief Operating Officer, GECC, Inc.

    "Financial Modeling with Crystal Ball and Excel is a comprehensive, well-written guide to one of the most useful analysis tools available to professional risk managers and quantitative analysts. This is a must-have book for anyone using Crystal Ball, and anyone wanting an overview of basic risk management concepts."
    -Paul Dietz, Manager, Quantitative Analysis, Westar Energy

    "John Charnes presents an insightful exploration of techniques for analysis and understanding of risk and uncertainty in business cases. By application of real options theory and Monte Carlo simulation to planning, doors are opened to analysis of what used to be impossible, such as modeling the value today of future project choices."
    -Bruce Wallace, Nortel

    Customer Reviews:

    4 out of 5 stars goes beyond deterministic assumptions.......2007-06-24

    The book is all about simulations. In financial modelling, as opposed to engineering or science. Readers from the latter 2 fields who have coded simulations will find much in common. The specific equations in the text for finance are largely different from what you've met before. But the basic treatment is essentially the same.

    Typically, the text will describe some financial equation. The Crystal Ball program lets you easily generate random data as input to simulations, which it then runs.

    Despite Excel in the book's title, the book is mostly about using Crystal Ball. Charnes shows how you can go well beyond a simple deterministic treatment of an income statement or balance sheet. Typically, most companies just use the deterministic approach. The danger is that this approach relies on certain assumptions. Using Crystal Ball and the book, you can test the effect of relaxing these assumptions on the balance sheet. A more robust approach to financial planning.

    4 out of 5 stars Financial Modeling with Crystal Ball and Excel.......2007-05-13

    Acho que faltou um pouco mais de detalhes nos tópicos, porém o livro apresenta excelente modelos técnicos.
    Modeling Maximum Trading Profits with C++: New Trading and Money Management Concepts (Wiley Trading)
    Average customer rating: 4 out of 5 stars
    • should have been a short journal article
    • 15 years is not enough: a new market property
    		 Modeling Maximum Trading Profits with C++: New Trading and Money Management Concepts (Wiley Trading)
    Valerii Salov
    Manufacturer: Wiley
    ProductGroup: Book
    Binding: Paperback

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    ASIN: 0470086238

    Book Description

    "Mr. Salov has taken one of my favorite creations – Perfect Profit – and provided an expanded description of his interpretation of it and put it in your hands with the included software. Like I said fifteen years ago, Perfect Profit is an important tool for the trading system developer. See for yourself."
    —Robert Pardo, President, Pardo Capital Limited

    "A very in-depth reference for programmers that should serve well into the future. The code herein lends itself well to other syntactically similar programming languages such as Java, PHP, and C#."
    —Ralph Vince

    The goal of trading is to make money, and for many, profits are the best way to measure that success. Author Valerii Salov knows how to calculate potential profit, and in Modeling Maximum Trading Profits with C++, he outlines an original and thought-provoking approach to trading that will help you do the same.

    This detailed guide will show you how to effectively calculate the potential profit in a market under conditions of variable transaction costs, and provide you with the tools needed to compute those values from real prices. You'll be introduced to new notions of s-function, s-matrix, s-interval, and polarities of s-intervals, and discover how they can be used to build the r- and l-algorithms as well as the first and second profit and loss reserve algorithms. Optimal money management techniques are also illustrated throughout the book, so you can make the most informed trading decisions possible.

    Filled with in-depth insight and expert advice, Modeling Maximum Trading Profits with C++ contains a comprehensive overview of trading, money management, and C++. A companion CD-ROM is also included to help you test the concepts described throughout the book before you attempt to use them in real-world situations.

    Customer Reviews:

    3 out of 5 stars should have been a short journal article.......2007-06-29

    SUMMARY: A potentially useful concept taken to ridiculous extremes.

    The main theme is around the concept of *potential profit* offered by a particular market. When building automated trading strategies or evaluating human trader performance, the problem could be decomposed into a product of some intrinsic profit offered by the market and the percentage of that profit that is captured by a particular trader or strategy. This book spends most of its attention on the former factor and various derived performance metrics.

    *Potential profit* is defined by an idealized strategy that has *perfect foresight about all future prices over a given time interval*. In addition to the original concept apparently suggested by Robert Pardo, the book's definition is made more realistic by constraining such a strategy with non-zero transaction costs. Although this connection is not made by the author, the concept is related to those used in offline algorithms and competitive analysis (see, for example, Online Computation and Competitive Analysis): in essence, you want to quantify the amount of *regret* you experience comparing your performance to that of a perfect adversary or algorithm that is allowed to solve the offline version of the same problem (with all of the future data available at the outset).

    Three iterations of potential profit algorithms are introduced:

    1. "r-/l-algorithms": position size is constrained with a given maximum. The perfect strategy can be proven to be pure reversal -- except for initial and final transactions, the maximum profit is obtained by always switching positions between +max_size and -max_size at certain transaction points. Although the underlying problem could be solved using a generic optimizer, Salov introduces a concept of *s-intervals* that makes it easy to see how the global maximum can be computed with a simple linear algorithm. This algorithm offers conceptual elegance of solving its related problem exactly -- the later two are heuristic improvements for less constrained versions of the problem.

    2. "first P&L reserve algorithm": strategy remains a pure reversal strategy but position size is allowed to vary subject only to self-financing/account margin/buying power constraints. #2 can improve on #1 due to increases in account buying power after the initial entry/exit transactions.

    3. "second P&L reserve algorithm": same as #2 but the strategy is allowed to change existing positions in between the transaction points used by #1 and #2, i.e. the strategy is no longer pure reversal. Again, #3 can improve on #1 due to increases in account buying power during trading.

    Since both #2 and #3 consider how account equity grows over time subject to self-financing restrictions, connections to Kelly/Shannon
    maximum growth rate formulas arise naturally. In later chapters, all algorithms are used to derive performance metrics and to compare potential profits offered by various markets using real-life price data.

    Unfortunately, in my view the author should have stopped at #1 and not gone on for 180 more pages. Granted, the overall approach of comparing your actual performance to that of some idealized benchmark strategy is extremely sound and useful. As a benchmark, a single simple idealized strategy is sufficient. But the author does not emphasize enough that the single biggest advantage the idealized strategy has is the perfect knowledge of future prices. Algorithm #1 already has this advantage built in and there seems to be little practical value in gleaning further incremental benefits by adding optimal account growth heuristics. (Optimizing position sizes can't be done in real-life without simultaneously controlling risk etc.) In fact, the last chapter has a cocoa contract example making 13000% returns in just 5 days! Similarly, in some examples algorithms #2 and #3 manage to grow exponentially into such large position sizes that they overflow a 32-bit integer -- it is surprising that the author does not see the ridiculousness of that and reluctantly suggests that the algorithms should be applied to "short time intervals" or "with high transaction costs".

    Other book shortcomings that seemed glaring to me:

    - only deterministic strategies are considered. Real-life strategies have to incorporate uncertainty modeling in their decisioning. Furthermore, deterministic-only strategies can't reach Nash equilibria for some problems.

    - only two commission cost models are considered: fixed per transaction and cost as a function of instrument price. Something like cost/share would invalidate much of the discussion.

    - because they have perfect price foresight all idealized algorithms unavoidably go wild on max'ing out position sizes. In real life, risk management constraints on open positions can kick in sooner than margin constraints, unless you are diversified across many positions (situation not considered in the book).

    - after observing how much the transaction costs can impact these idealized strategies, the author nonetheless goes on and makes very ballpark guesses about slippage etc -- it seems incongruent after all that energy spent on perfecting those strategies.

    5 out of 5 stars 15 years is not enough: a new market property.......2007-02-25

    I am a professional mathematician with a personal interest in mathematical finance and I know the author. I did not expect Dr. Salov to be writing a book but eventually I became one of the first readers. The book focuses on modeling and calculation of the potential profit - a new and fascinating market property. It also contains a gentle introduction explaining basic trading, financial and programming terms and helping better to understand the main topic. Therefore, the book should be interesting for all market participants: trading system developer, trader, theoretician working on finance or someone who wishes to learn the field of trading systems and quantitative finance.

    It is interesting that the potential profit, as introduced by Robert Pardo, corresponds to a classical notion of a total variation of a function, the function being the time sequence of prices of a commodity. Computation of the potential profit in the presence of e.g. transaction costs becomes a sophisticated mathematical problem which Dr. Salov solves using the newly suggested r- and l-algorithms. In a systematic way, the author introduces s-function, s-matrix, polarity, s-intervals and proves their properties, producing an effective r- and l-algorithms.

    While Robert Pardo introduced potential profit as a new concept, Valerii Salov brings this concept to a substantially higher level. He considers the maximum profit as a market property, which must be combined with a sequence of trading actions - trading strategy. He systematically comes the way from simple market and trading systems performance measures to a powerful and automatic tool filtering the most critical price events. This becomes possible because he takes into account transaction costs such as commissions, slippage, and others. A motivation for each decision leading to the complete software, new algorithms, or money management is carefully explained.

    I highly recommend reading this book for anyone interested in development of trading systems and who wants to understand better the work of markets.
    Modeling Risk: Applying Monte Carlo Simulation, Real Options Analysis, Forecasting, and Optimization Techniques (Wiley Finance)
    Average customer rating: 2.5 out of 5 stars
    • A 600-Page Advertisement
    • Applying Monte Carlo Simulation
    		 Modeling Risk: Applying Monte Carlo Simulation, Real Options Analysis, Forecasting, and Optimization Techniques (Wiley Finance)
    Johnathan Mun
    Manufacturer: Wiley
    ProductGroup: Book
    Binding: Hardcover

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    ASIN: 0471789003

    Book Description

    This completely revised and updated edition of Applied Risk Analysis includes new case studies in modeling risk and uncertainty as well as a new risk analysis CD-ROM prepared by Dr. Mun. On the CD-ROM you'll find his Risk Simulator and Real Options Super Lattice Solver software as well as many useful spreadsheet models.

    "Johnathan Mun's book is a sparkling jewel in my finance library. Mun demonstrates a deep understanding of the underlying mathematical theory in his ability to reduce complex concepts to lucid explanations and applications. For this reason, he's my favorite writer in this field."
    —Janet Tavakoli, President, Tavakoli Structured Finance, Inc. and author of Collateralized Debt Obligations and Structured Finance

    "A must-read for product portfolio managers . . . it captures the risk exposure of strategic investments, and provides management with estimates of potential outcomes and options for risk mitigation."
    —Rafael E. Gutierrez, Executive Director of Strategic Marketing and Planning, Seagate Technology, Inc.

    "Once again, Dr. Mun has created a 'must-have, must-read' book for anyone interested in the practical application of risk analysis. Other books speak in academic generalities, or focus on one area of risk application. [This book] gets to the heart of the matter with applications for every area of risk analysis. You have a real option to buy almost any book?you should exercise your option and get this one!"
    —Glenn Kautt, MBA, CFP, EA, President and Chairman, The Monitor Group, Inc.

    Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

    Customer Reviews:

    3 out of 5 stars A 600-Page Advertisement.......2007-04-26

    I found the discussion on nonparametric simulation, though brief, to be very helpful. The book also inspired me to use Excel's Solver in ways I had not considered before.

    Beyond that, I was disappointed. The book is poorly edited and lacks a coherent structure. Once in a while, entire strings of paragraphs are repeated in two different parts of the book. More serious, however, is the fact that the book is largely an advertisement for the author's proprietary software.

    If you are looking for a few techniques that you can apply in an Excel environment, you will find a few nuggets here and there. However, you will mostly be skimming through the 600 pages of rambling discussion.

    2 out of 5 stars Applying Monte Carlo Simulation.......2007-03-30

    In the first few chapters the author is certainly successful in making the argument why one should use simulation rather than point estimates. However, the case studies are somewhat vague because the author presents the problem and discusses results of the simulation (using the Risk Simulator S/W) but leaves you wondering how he setup up the model to run this simulation and come up with the results(not even available in the excel examples on the CD). Clear examples of this case include the example on pages 75, 76 & the "Financial Planning" example on page 219.

    As an IT Project manager, I didn't find it very helpul in addressing my problems and I wouldn't recommend it for people who want to learn about simulation without going too technical
    Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling
    Average customer rating: Not rated
      		Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling
      Tom A.B. Snijders , and Roel Bosker
      Manufacturer: Sage Publications Ltd
      ProductGroup: Book
      Binding: Paperback

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      Similar Items:
      1. Multilevel Modeling (Quantitative Applications in the Social Sciences) Multilevel Modeling (Quantitative Applications in the Social Sciences)
      2. Introducing Multilevel Modeling (Introducing Statistical Methods series) Introducing Multilevel Modeling (Introducing Statistical Methods series)
      3. Hierarchical Linear Models: Applications and Data Analysis Methods (Advanced Quantitative Techniques in the Social Sciences) Hierarchical Linear Models: Applications and Data Analysis Methods (Advanced Quantitative Techniques in the Social Sciences)
      4. Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence
      5. Multilevel Analysis: Techniques and Applications (Quantitative Methodology Series) Multilevel Analysis: Techniques and Applications (Quantitative Methodology Series)

      ASIN: 0761958908
      Release Date: 1999-12-07

      Book Description

      The main methods, techniques and issues for carrying out multilevel modeling and analysis are covered in this book. The book is an applied introduction to the topic, providing a clear conceptual understanding of the issues involved in multilevel analysis and will be a useful reference tool. Information on designing multilevel studies, sampling, testing and model specification and interpretation of models is provided. A comprehensive guide to the software available is included. Multilevel Analysis is the ideal guide for researchers and applied statisticians in the social sciences, including education, but will also interest researchers in economics, and biological, medical and health disciplines.

      Books:

      1. Fundamentals of Space Systems (The Johns Hopkins University/Applied Physics Laboratory Series in Science and Engineering)
      2. Game Programming Gems 6 (Book & CD-ROM) (Game Development Series)
      3. Geometric Numerical Integration: Structure Preserving Algorithms for Ordinary Differential Equations
      4. Getting Started with MATLAB 7: A Quick Introduction for Scientists and Engineers (The Oxford Series in Electrical and Computer Engineering)
      5. Global Behavior of Nonlinear Difference Equations of Higher Order with Applications (Mathematics and Its Applications)
      6. Handbook of Image Quality: Characterization and Prediction (Optical Engineering)
      7. Handbook of Multisensor Data Fusion (Electrical Engineering & Applied Signal Processing)
      8. Hierarchical Linear Models: Applications and Data Analysis Methods (Advanced Quantitative Techniques in the Social Sciences)
      9. History: Fiction or Science? (Chronology, No. 1)
      10. History: Fiction or Science? (Chronology, No. 1)

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