Book Description
This book teaches how to interrelate nursing diagnoses with a variety of conceptual models. The new edition remains focused on major nursing theories, while also adding new chapters on the "Relationship Between Nursing Conceptual Models and Nursing Diagnosis" and the use of "Nursing Diagnosis as a Conceptual Framework." Nursing students.
Book Description
Based on the results of research in physical asset management, Maintenance, Replacement, and Reliability: Theory and Applications introduces students to the tools for making data-driven decisions and how to use them. The book offers a solid theoretical foundation for these tools, demonstrating applications through various case studies. Firmly rooted in reality, the applications covered relate to areas such as food processing, the military, mining, transportation, steel, and petrochemical and pharmaceutical industries. Ideal for classroom use, this text features supplementary software that can be downloaded from the CRC Web site. The downloadable educational versions of software packages include: OREST, SMS, EXAKT for CBM optimization, PERDEC, Workshop Simulator, Crew Size Optimizer, and WiebullSoft. This book can be used as a textbook for a one-semester senior undergraduate or postgraduate course on maintenance decision analysis. It provides problem sets with answers at the end of each chapter, an extensive set of PowerPoint slides covering the various chapters and appendices, a solutions manual for the problems in the book, and a bank of more than 100 examination questions. Instructors who adopt the book can obtain these resources at www.crcpress.com. The authors approach the topic with the ideology that mathematical modeling is not a spectator sport. Their examination of the underpinning theories for formulating models and exploration of real-world applications make the book both informative and practical. It provides professors with the tools they need to easily teach their students how to transform data into information.
Customer Reviews:
Great book for both practitioners and academics.......2007-01-06
This book is an excellent choice for those who are looking for a text on real applications of simple but fundamental mathematical techniques in reliability and maintenance. Both authors have been involved in industrial projects in this field and the book is a summary of their experience over the last 33 years. Most of the examples are based on real applications and industrial case studies accomplished mostly by the first author (Andrew Jardine). You do not need advanced mathematics to understand the cases, however many mathematical concepts are explained in the appendices using a very simple language. The book starts with a nice summary of all the fundamental concepts in reliability and maintenance management. It talks shortly about soft aspects of maintenance such as TPM, RCM, Continuous improvements, etc and uses an interesting frame work to connect them to each other. In chapter two, it shows how the best time to replace a component or simple device can be found using simple mathematics. It then brings several applied examples which will help the reader to fully understand the concept and how to apply those simple but essential techniques. It talks about age based replacements and block replacements and discusses when we should choose one of them over the other. It also introduces a software that can simply do all the mathematics and find optimal replacement times. In Chapter 3, it talks about the inspections problems. It shows how we can find the best inspection policies based on simple mathematical models using different criteria such as minimization of the cost or downtime. Then it talks about the condition based maintenance modeling and shows that how we can find the best replacement policy based on condition indicators, age of the system, cost of preventive replacement, and cost of a failure. It shows some examples and defines software called EXAKT which is claimed to be well capable of finding the optimum replacement policy. In chapter four it talks about optimal replacement interval for capital equipment. It shows how we should take into account Life Cycle Costs in order to find the best time to replace the current equipment with a new one of the same type or one which is more technologically advanced. The best policy is the one that minimizes the total discounted costs over the time. It introduces two softwares called AGE/CON and PERDEC that can be used to find those optimal intervals without being worried about the mathematical burdens. Chapter 5 is titled "Maintenance Resource Requirements". It basically shows that how one can use basic queuing models to find the optimum number of spares, required manpower, machine shops, and decide whether it is better to do a job in house or contract it out.
I see this book a must read for both graduate and undergraduate students, practitioners and consultants because it creates a very strong and valuable link between world of mathematics with the one of practice.
Book Description
Find in-depth discussions of dependability management and reliability centered systems as well as functional safety issues—matters critical to the new IEC standards. Of note in this new second edition are:
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New chapters on Reliability of Maintained Systems and Reliability Assessment of Safety-Critical Systems
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Introduction and discussion of basic assessment methods for operational availability and production regularity
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An FTP site for solutions, overheads, and supplementary information
Customer Reviews:
System Reliabiility Theory.......2000-03-02
This is an excellent text for learning reliability analysis. It contains just the right mixture of material to be useful for a practicing engineer that must learn the reliability business in a hurry.
The book is very clear and fairly concise. There are worked examples to demonstrate how the theory should be applied and the examples are also clear and concise.
I would highly recommend this book as an introduction to reliability and availability also.
Book Description
Taking a practical, hands-on approach to multilevel modeling, this book provides readers with an accessible and concise introduction to HLM and how to use the technique to build models for hierarchical and longitudinal data. Each section of the book answers a basic question about multilevel modeling, such as, "How do you determine how well the model fits the data?" After reading this book, readers will understand research design issues associated with multilevel models, be able to accurately interpret the results of multilevel analyses, and build simple cross-sectional and longitudinal multilevel models.
Customer Reviews:
An Elegant Writing.......2007-07-15
Luke provides a very clear explication of how to conduct Multilevel Modeling with very nice examples.
Average customer rating:
- Good in some ways but
- Very good textbook for (non)linear mixed models in R
- As someone who just learn R
- R and S, The best in statistical analysis
- well written account of mixed models with SPlus software
|
Mixed Effects Models in S and S-Plus
Jose C. Pinheiro , and
Douglas M. Bates
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Modern Applied Statistics with S
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Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Texts in Statistical Science)
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Introductory Statistics with R
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S Programming
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Generalized, Linear, and Mixed Models (Wiley Series in Probability and Statistics)
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S Programming
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Programming with Data: A Guide to the S Language
ASIN: 0387989579 |
Book Description
This book provides an overview of the theory and application of linear and nonlinear mixed-effects models in the analysis of grouped data, such as longitudinal data, repeated measures, and multilevel data. Over 170 figures are included in the book.
Customer Reviews:
Good in some ways but.......2006-08-07
It is difficult to understand who this book is written for. The authors are clearly clever guys but strangely the book does little to explain the command structure for modelling in the authors' own package! It would be useful to explain the models in the context of random effects/nested modelling in conventional ANOVA for newbies. Please authors if you do a second edition show how really simple models are programmed.
A good example of its beginner unfriendliness is the first example(!) to have a vector within a dataframe of exactly the same name. Not a good idea in a text book. You would have thought the editor would have had something to say about that.
Very good textbook for (non)linear mixed models in R.......2006-07-25
Even though the title of this book is mixed effects models in S and S+ but this is a wonderful book for a person to learn mixed effect models in R. If you read this book carefully and also use the R to practice examples. Then you will get a lot from the learning process. Of course you should has a basic background in linear model before you read this book.
I strong recommend this book to whom needs nonlinear mixed models of longitudinal data in R.
Every statistician should has this book.
As someone who just learn R.......2006-01-19
At first sight, there are a lot of SPlus/R commands in the book which one may expect to learn a lot about using nlme. However, I found there is a lack in explanation of the command, if not missing. For e.g., in Chapter 1, the book talks about nested classficification models and gave the command in Splus/R, with the model equation right in front of me, I still can't figure out why in the command ...... random=list(Dog=~day,Side=~1) .... can't figure out the logic of this command in relation to the equation. I know this is not an introductory book for R, but a lot of time, when we want to use R or Splus the first time, it's not b'cos we want to do simple statistics, so a bit more explanation of the commands will be helpful, rather than following the commands blindly. Furthermore, I'm not even talking about R programming. Having said that, I still want to emphasize it is a good book written for the topic and package.
R and S, The best in statistical analysis.......2004-01-16
The book has excelent presentation (theory and practical), overall a lot applications with R (my favorite)...If you want to be update in applied statistics, in my opinion, you should have it...
well written account of mixed models with SPlus software.......2001-04-22
Mixed effects linear models are very useful particularly in medical research (e.g. device or drug trials). Pinheiro and Bates provide comprehensive cover of both linear and nonlinear mixed effects models with many applications. Implementation is illustrated using the S programming language and the software package SPlus.
Bates is an expert on nonlinear regression and hence the emphasis on the nonlinear models as well as the linear ones.
Book Description
This valuable text offers clearly defined and practical ways to integrate nursing theory into actual nursing practice. Intended as a companion title to Nursing Theorists and Their Work, Nursing Theory goes beyond the presentation of the theories to help readers determine concrete ways to apply these often abstract concepts in everyday practice.
Book Description
This book presents the work that has been done to date with the Michigan Model of World Production and Trade, together with a full description and discussion of the model itself. Developed and refined for more than a decade, The Michigan Model is distinguished among general equilibrium trade models not only for its coverage (34 countries and 29 industries) but for its allowance for a wider variety of important short-run interactions among markets and a greater variety of policy parameters and institutional details than many other models permit. The model is intended as a practical tool for policymakers analyzing the effects of measures such as tariffs, taxes, and exchange rate changes on a set of highly disaggregated patterns of production, trade, and employment.
Following an introductory chapter that discusses the development and use of The Michigan Model, its theoretical structure is introduced and compared to the theoretical structure of other computational models and its implementation is presented in terms of data requirements and parameters, methods of solution, and application to various issues. Six chapters then explore a number of different applications designed to analyze the effects of the Tokyo Round of Multilateral Trade Negotiations and post-Tokyo-Round negotiating alternatives, the effects of tariffs on the structure of protection in the U.S. and other major industrialized countries, the effects of domestic tax/subsidies on the structure of protection in the U.S., the U.K., and Japan, the sectoral impact of real exchange-rate changes, and the effect of trade on employment in major industrial countries. A final chapter draws together the lessons of the efforts for computer modeling of trade and for the direction of future research.
Alan V. Deardorff is Professor of Economics at the University of Michigan, Ann Arbor. Robert M. Stern is Professor of Economics and Public Policy, also at Michigan.
Book Description
* Shorter, more concise chapters provide flexible coverage of the subject.
* Expanded coverage includes: uncertainty and randomness, prior distributions, predictivism, estimation, analysis of variance, and classification and imaging.
* Includes topics not covered in other books, such as the de Finetti Transform.
* Author S. James Press is the modern guru of Bayesian statistics.
Average customer rating:
- A must for Location Models
- Comprehensive math model of location and network
|
Network and Discrete Location: Models, Algorithms, and Applications
Mark S. Daskin
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ASIN: 047101897X |
Book Description
The comprehensive introduction to the art and science of locating facilities to make your organization more efficient, effective, and profitable. For the professional siting facilities, the task of translating organizational goals and objectives into concrete facilities requires a working familiarity with the theoretical and practical fundamentals of facility location planning and modeling. The first hands-on guide to using and developing facility location models, Network and Discrete Location offers a practiceoriented introduction to model-building methods and solution algorithms, complete with software to solve classical problems of realistic size and end-of-chapter exercises to enhance the reader's understanding. The text introduces the reader to the key classical location problems (covering, center, median, and fixed charge) which form the nucleus of facility location modeling. It also discusses real-life extensions of the basic models used in locating: production and distribution facilities, interacting services and facilities, and undesirable facilities. The book outlines a host of methodological tools for solving location models and provides insights into when each approach is useful and what information it provides. Designed to give readers a working familiarity with the basic facility location model types as well as an intuitive knowledge of the uses and limits of modeling techniques, Network and Discrete Location brings students and professionals alike swiftly from basic theory to technical fluency.
Customer Reviews:
A must for Location Models.......2004-08-07
I am a PhD student in Operations Management and this is one of the best books in Location Management. Very clear and very precise, I did not need a class to understand the material. Its definitely a must for any body who wants a background on Location Models
Comprehensive math model of location and network.......2000-09-04
This is the 2nd best book after Ahuja et.al. book (Network Flows : Theory, Algorithms, and Applications, 1993). As I said, it's the 2nd best book -so don't be surprised if you found Ahuja's book more useful. However, Daskin did good job to compile both location and network analysis in a single text book. We can see many issues in these areas in this book. I'd love to see more integration both math model and algorithm in this book though. If you don't have Ahuja's book, you may wanna grasp one (it's out-of-stock) before getting this book. However, if you are new to do research in location and network, grasp Daskin's book. You won't be disappointed with this book!
Book Description
Evaluation Theory, Models, and Applications is designed for evaluators and students who need to develop a commanding knowledge of the evaluation field: its history, theory and standards, models and approaches, procedures, and inclusion of personnel as well as program evaluation. This important book shows how to choose from a growing array of program evaluation approaches.
In one comprehensive resource, the authors have compiled vital information from the evaluation literature and draw on a wide range of practical experiences. Using this book, evaluators will be able to identify, analyze, and judge 26 evaluation approaches. The authors also show how to discriminate between legitimate and illicit approaches based on application of the Joint Committee Program Evaluation Standards.
Books:
- Conceptual Physics
- Continuum Mechanics and Theory of Materials
- Diagonally-Parked in a Parallel Universe : Working Through Social Anxiety
- Digital Image Processing (2nd Edition)
- Digital Image Processing Using MATLAB
- Dimensions of Social Welfare Policy (6th Edition)
- Drugs in Pregnancy and Lactation: A Reference Guide to Fetal and Neonatal Risk
- Elementary Classical Analysis
- Essentials of Statistics for Business and Economics (with CD-ROM and InfoTrac )
- Everyday Math for Dummies
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