Book Description
* Contains additional discussion and examples on left truncation as well as material on more general censoring and truncation patterns.
* Introduces the martingale and counting process formulation swil lbe in a new chapter.
* Develops multivariate failure time data in a separate chapter and extends the material on Markov and semi Markov formulations.
* Presents new examples and applications of data analysis.
Customer Reviews:
A welcome and well-written update to a classic in the field. .......2005-08-25
The prior edition of this book has long been used for introductory courses in survival analysis for statistics students, and its treatment of the proportional hazards model and partial likelihood is classic. Contrary to the claims of another reviewer here, notation for the survival function is far from standardized in the field. In fact, both this book and another standard text ("Analysis of Survival Data" by D.R. Cox and D. Oakes) represent this quantity with an "F". An excellent and authoratative introduction for students with some knowledge of theoretical statistics.
Average customer rating:
- Novices Should Start Here
- An excellent manual for those ignoring everything about spec
- exceptionally clear
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Spectral Analysis of Time-Series Data
Rebecca M. Warner
Manufacturer: The Guilford Press
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Similar Items:
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Fourier Analysis of Time Series: An Introduction (Wiley Series in Probability and Statistics)
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The Analysis of Time Series: An Introduction, Sixth Edition (Texts in Statistical Science)
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Spectral Analysis for Physical Applications
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Time Series Analysis by State Space Methods (Oxford Statistical Science Series)
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Fourier Series and Orthogonal Functions
ASIN: 1572303387 |
Book Description
This book provides a thorough introduction to methods for detecting and describing cyclic patterns in time-series data. It is written both for researchers and students new to the area and for those who have already collected time-series data but wish to learn new ways of understanding and presenting them. Facilitating the interpretation of observations of behavior, physiology, mood, perceptual threshold, social indicator variables, and other responses, the book focuses on practical applications and requires much less mathematical background than most comparable texts. Using real data sets and currently available software (SPSS for Windows), the author employs extensive examples to clarify key concepts. Topics covered include research design issues, preliminary data screening, identification and description of cycles, summary of results across time series, and assessment of relations between time series. Also considered are theoretical questions, problems of interpretation, and potential sources of artifact.
Customer Reviews:
Novices Should Start Here.......2001-10-17
If you haven't got a clue about spectral analysis, this is the ideal place to start exploring the frequency domain. Although the examples are from psychological studies, this is not a reason why an economist shouldn't read it!!!
An excellent manual for those ignoring everything about spec.......2001-03-28
I think this book is extremely simple. The only knowledge required to understand it is perhaps Ordinary Least Squares. A theoretical explanation of the spectral analysis is not in the book. There is only a brief comment on De moivre's theorem (the one allowing and sustaining the whole spectral analysis) in a footnote. The main purpose of the author is to deliver an empirical methodology for empirical researchers not interested in the theories. The advantage is that, once you see such empirical applications, you understand the underlying idea of spectral Analysis. The elementary examples are very illuminating. The book is well organized and the review of "de-trending" (on this particular subject, I would like to say that the scientific discussion has evolved a lot in the last 20 years and the author's presentation is a little bit old), "harmonic analysis", "periodogrammes" seems pretty coherent. Perhaps the only drawback is that the text is a little repetitive and thus, slightly boring; but this is a minor problem, if you consider that this style will make more solids the understanding of the fundamental concepts. It's a great introduction to spectral analysis. Students having standard mathematical knowledge should begin here and then start reading more technical works, such as Bloomfied's "Fourier Analysis of Time Series" and the chapter of spectral analysis of Hamilton's "Analysis of Time Series".
exceptionally clear.......2000-04-06
No one writes more clearly than Rebecca Warner. If you want to understand spectral analysis, she will help you. If you want to *do* spectral analysis, read this book first. It might be the only one you need.
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Timing Analysis and Optimization of Sequential Circuits
Naresh Maheshwari , and
S. Sapatnekar
Manufacturer: Springer
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ASIN: 0792383214 |
Book Description
Recent years have seen rapid strides in the level of sophistication of VLSI circuits. On the performance front, there is a vital need for techniques to design fast, low-power chips with minimum area for increasingly complex systems, while on the economic side there is the vastly increased pressure of time-to-market. These pressures have made the use of CAD tools mandatory in designing complex systems.
Timing Analysis and Optimization of Sequential Circuits describes CAD algorithms for analyzing and optimizing the timing behavior of sequential circuits with special reference to performance parameters such as power and area. A unified approach to performance analysis and optimization of sequential circuits is presented. The state of the art in timing analysis and optimization techniques is described for circuits using edge-triggered or level-sensitive memory elements. Specific emphasis is placed on two methods that are true sequential timing optimizations techniques: retiming and clock skew optimization.
Timing Analysis and Optimization of Sequential Circuits covers the following topics:
- Algorithms for sequential timing analysis
- Fast algorithms for clock skew optimization and their applications
- Efficient techniques for retiming large sequential circuits
- Coupling sequential and combinational optimizations.
Timing Analysis and Optimization of Sequential Circuits is written for graduate students, researchers and professionals in the area of CAD for VLSI and VLSI circuit design.
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Solutions Manual for Econometrics
Badi H. Baltagi
Manufacturer: Springer
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Econometrics
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Matrix Algebra: Exercises and Solutions
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Schaum's Outline of Statistics and Econometrics
ASIN: 3540638962 |
Book Description
This Solutions Manual is to accompany the Springer textbook "Econometrics" by Badi H. Baltagi. The manual provides solutions to selected exercises from each chapter of the textbook.The empirical exercises illustrate the testing and estimation methodology using popular econometric software. Some SAS programs are provided to replicate the results. The book also takes the reader step by step through simple yet rigorous theoretical exercises. In addition, the manual has a set of empirical illustrations demonstrating some of the basic results of the textbook. The computer output and programs are given to help the reader reproduce these results. The Solutions Manual is an important complement to the textbook and helps guide the reader through difficult problems.
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Computational Intelligence in Time Series Forecasting: Theory and Engineering Applications (Advances in Industrial Control)
Ajoy K. Palit , and
Dobrivoje Popovic
Manufacturer: Springer
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Intermediate Robot Building
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Introduction to Evolutionary Computing (Natural Computing Series)
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Artificial General Intelligence (Cognitive Technologies)
ASIN: 1852339489 |
Book Description
Foresight can be crucial in process and production control, production-and-resources planning and in management decision making generally. Although forecasting the future from accumulated historical data has become a standard and reliable method in production and financial engineering, as well as in business and management, the use of time series analysis in the on-line milieu of most industrial plants has been more problematic because of the time and computational effort required.
The advent of intelligent computational technologies such as the neural network and the genetic algorithm promotes the efficient solution of on-line forecasting problems. Their most outstanding successes include:
- prediction of nonlinear time series and the nonlinear combination of forecasts using neural networks;
- prediction of chaotic time series and of output data for second-order nonlinear plant using fuzzy logic.
The power of intelligent technologies applied individually and in combination, has created advanced forecasting methodologies, exemplified in
Computational Intellingence in Time Series Forecasting by particular systems and processes. The authors give a comprehensive exposition of the improvements on offer in quality, model building and predictive control, and the selection of appropriate tools from the plethora available using such examples as:
- forecasting of electrical load and of output data for nonlinear plant with neuro-fuzzy networks;
- temperature prediction and correction in pyrometer reading, tool-wear monitoring and materials property prediction using hybrid intelligent technologies;
- evolutionary training of neuro-fuzzy networks by the use of genetic algorithms and prediction of chaotic time series;
- isolated use of neural networks and fuzzy logic in the nonlinear combination of traditional forecasts of temperature series obtained from a pilot-scale chemical reactor with temporarily disconnected controller.
Application-oriented engineers in process control, manufacturing, the production industries and research centres will find much to interest them in
Computational Intelligence in Time Series Forecasting and the book is suitable for industrial training purposes. It will also serve as valuable reference material for experimental researchers.
Customer Reviews:
Research based book.......2006-02-19
For the novice reader in this field of expertise this book is well suited. It does not mean that this book is not extensively explained, but the book is easy to understand since it is going step by step through many research result examples conducted in clear way. The author intended the book to be finished within approximately few weeks of intensively reading,and some prior knowledges. The presentation is awesome and includes up-to-date notions, namely Neural Network approach, Fuzzy Logic perspective and Evolutionary Computing as well. The Evolutionary Computing contains Genetic Algorithm, Genetic Programming, Evolutionary Strategy, Evolutionary Programming and Differential Evolution. The four last notions are left in concise for some reasons. Furthermore, the Hybrid method,i.e. Neuro-Fuzzy, is explained completely by many research results exploiting the robustness of Takagi-Sugeno fuzzy inference system applied with Mackey-Glass Chaotic time series and Wang data nonlinear inputs. The most recent developments are presented in some pages including Wavelet Networks, Fractal Based Network and Fuzzy Clustering.
However, this book is intended for postgraduate student, scientist and industrial workers in area of control, pattern recognition, robotic and many more.
Average customer rating:
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Formal Techniques in Real-Time and Fault-Tolerant Systems (The Springer International Series in Engineering and Computer Science)
Manufacturer: Springer
ProductGroup: Book
Binding: Hardcover
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ASIN: 0792393325 |
Book Description
Formal Techniques in Real-Time and Fault-Tolerant Systems focuses on the state of the art in formal specification, development and verification of fault-tolerant computing systems. The term `fault-tolerance' refers to a system having properties which enable it to deliver its specified function despite (certain) faults of its subsystem. Fault-tolerance is achieved by adding extra hardware and/or software which corrects the effects of faults. In this sense, a system can be called fault-tolerant if it can be proved that the resulting (extended) system under some model of reliability meets the reliability requirements.
The main theme of
Formal Techniques in Real-Time and Fault-Tolerant
Systems can be formulated as follows: how do the specification, development and verification of conventional and fault-tolerant systems differ? How do the notations, methodology and tools used in design and development of fault-tolerant and conventional systems differ?
Formal Techniques in Real-Time and Fault-Tolerant Systems is divided into two parts. The chapters in Part One set the stage for what follows by defining the basic notions and practices of the field of design and specification of fault-tolerant systems. The chapters in Part Two represent the `how-to' section, containing examples of the use of formal methods in specification and development of fault-tolerant systems.
The book serves as an excellent reference for researchers in both academia and industry, and may be used as a text for advanced courses on the subject.
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A Statlib Primer: The Forecasting Process Through Statistical Computing
Hans Levenbach ,
William M. Brelsford , and
James P. Cleary
Manufacturer: Lifetime Learning Publications
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ASIN: 053497936X |
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Symbolic Computation, Number Theory, Special Functions, Physics and Combinatorics (Developments in Mathematics)
Manufacturer: Springer
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ASIN: 1402001010 |
Book Description
This volume contains research and expository papers in a number of different topics including Number Theory, Special Functions, Physics and Combinatorics. A subject that is common to all of these fields is q-series. The chapters contain some of the latest developments in the fields of q-series. Some of the papers describe how symbolic computation has aided these developments. Audience: Researchers and graduate students interested in recent developments in q-series and symbolic computation.
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Theories and Experiences for Real-Time System Development (Amast Series in Computing, Vol 2)
Teodor Rus
Manufacturer: World Scientific Publishing Company
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ASIN: 9810219237 |
Books:
- Twistor Geometry and Field Theory (Cambridge Monographs on Mathematical Physics)
- Urban Stormwater Management Planning with Analytical Probabilistic Models
- A First Course in Modular Forms (Graduate Texts in Mathematics)
- A Guide to MATLAB: For Beginners and Experienced Users
- A Multigrid Tutorial
- A Primer of Ecology
- An Introduction to Complex Analysis in Several Variables (North-Holland Mathematical Library)
- An Introduction to Complex Analysis in Several Variables (North-Holland Mathematical Library)
- Applications = Code + Markup: A Guide to the Microsoft Windows Presentation Foundation (Pro - Developer)
- Applied Numerical Methods with MATLAB for Engineers and Scientists
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