books by Chapman & Hall, CRC
 
 



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Statistical Computing with R (Computer Science and Data Analysis)1 review
Maria L. Rizzo

Chapman & Hall/CRC, 2007

great book on statistics using R
This book is another text that covers statistical methods using R. Many of the others are specialized as for example Mark Chang's which covers adaptive designs only and Jim Albert's deals only with Bayesian methods. This is the best that I have seen to cover advanced statistical topics and teach the essentials of R for statistical analysis. So someone like me, who is not very familiar with R, ...
  
  











  



  
Linear Models with R (Texts in Statistical Science)9 reviews
Julian J. Faraway

Chapman & Hall/CRC, 2004

Clear and Concise
The two things you typically want in a book, this one has -- it is clear and concise. I'm a stickler for how things are explained and this book surpassed all expectations, explaining topics elegantly. Not only are methods explained well, but so is how to interpret data as well as general advice and guidelines on fitting models and checking that assumptions are met. When reading this book I feel ...
  
  











  



  
Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models ...1 review
Julian J. Faraway

Chapman & Hall/CRC, 2005

Flawed but well-explained
"Extending the Linear Model with R" is a "sequel" of sorts to the impressive "Linear Models with R" also written by Faraway. It assumes a basic knowledge of R (you don't have to be an expert) and a decent understanding of linear models. If you don't have that background, then I would start with the before-mentioned "Linear Models with R". If you read and understood that book, then you should ...
  
  











  



  
A Handbook of Statistical Analyses Using R2 reviews
Brian S. Everitt, Torsten Hothorn

Chapman & Hall/CRC, 2006

covers most important statistical techniques using the R Language
Brian Everett has previously written similar handbooks for SAS and SPlus. As R is becoming the language of choice in statistical computing in research particularly academoc research this book is a welcome addition. This book is actually a great booj on statistical methods and covers most of the important modern advances including ANOVA, linear regression, generalized linear models with emphasis ...
  
  











  



  
CRC Standard Mathematical Tables and Formulae, 31st Edition (Crc Standard Mathematical Tables and Formulae)24 reviews
Daniel Zwillinger

Chapman & Hall/CRC, 2002

A must-have
I am a physics major, and this book was recommended to me by one of my professors as a good source of integral tables, and as a great general reference on miscellaneous mathematical concepts. I found the integral tables to be good, but one might also want to purchase Dwight's Tables of Integrals and Other Mathematical Data (Fourth Edition) (unfortunately no longer in print), as it contains a ...
  
  











  



  
R Graphics (Computer Science and Data Analysis)6 reviews
Paul Murrell

Chapman & Hall/CRC, 2005

Solid reference book for a wide audience
Unleashing the power of R, particularly its graphing capabilities can be a daunting task. This is a well written book that covers all aspects of R graphics and gives plently of examples (with code). After using R for nearly 3 years now, I learned quite a bit of new information. Plus, the last 2 chapters of the book are very advanced and will likely require another 3 years before I can actually ...
  
  











  



  
Generalized Linear Models, Second Edition (Monographs on Statistics and Applied Probability)5 reviews
P. McCullagh, John A. Nelder

Chapman & Hall/CRC, 1989

One of the best books on modelling
This is an important book. It is a mature, deep introduction to generalized linear models. General linear models extend multiple linear models to include cases in which the distribution of the dependent variable is part of the exponential family and the expected value of the dependent variable is a function of the linear predictor. Besides the normal (Gaussian) distribution, the binomial ...
  
  











  



  
R Programming for Bioinformatics (Chapman & Hall/Crc Computer Science & Data Analysis)2 reviews
Robert Gentleman

Chapman & Hall/CRC, 2008

Perhaps a decent resource for R package developers, not end-users
This is a strange little book in that it seems somewhat directed toward statisticians who want to develop R packages. The OOP section takes up 50 pages and discusses "S3 and S4" implementations of OOP in R in great detail, all of which is not doubt important for those few dozen accomplished statisticians who wish to write packages. However, by the time you are ready to actually write an R ...
  
  











  



  
Bayesian Data Analysis, Second Edition (Texts in Statistical Science)10 reviews
Andrew Gelman, John B. Carlin, ...

Chapman & Hall/CRC, 2003

great coverage of Bayesian Methods including MCMC
This is a well written text that is fast becoming a classic reference. It contains a wealth of good applications. It is one of the new books that presents the growing use of Bayesian methods in practice since the advancement of Markov Chain Monte Carlo approach. It includes a whole chapter the Markov chain approach to computation. Other strengths of the book include the chapter on missing data ...
  
  











  



  
An Introduction to Systems Biology: Design Principles of Biological Circuits (Chapman & Hall/Crc Mathematical ...5 reviews
Uri Alon

Chapman & Hall/CRC, 2006

Great Job
A superb intro to the field. The math is moderate and helpful. Network concepts and their ties to examples and theory are clearly and succinctly presented. This is a textbook but reads easily like a book. Covers key elements while connecting them by at least mention to up-to-date further research. The basics and the grandeur of systems biology. I am trying to remember now anything on the negative ...
  
  











  



  
Using R for Introductory Statistics6 reviews
John Verzani

Chapman & Hall/CRC, 2004

best overall introduction to statistics using R
This book is an excellent introduction to basic statistics, not assuming a knowledge of calculus, using an intuitive "hands-on approach" using the free computer program R. Statistics should be learned with the fingers on a computer, not merely by memorizing formulas, so you do well to learn statistics with a book in one hand, sitting in front of a computer. John Verzani gives a gentle ...
  
  











  



  
The Analysis of Time Series: An Introduction, Sixth Edition (Texts in Statistical Science)7 reviews
Chris Chatfield

Chapman & Hall/CRC, 2003

nice introductory text on time series
When I was a graduate student at Stanford my advisor taught an elementary time series course out of Chatfield's book. It was either the first or the second edition. I was his teaching assistant. The book has been very successful and is now in its fifth edition. It covers most of the important topics concisely and in an intuitive manner. This book gives the student a feel for time series analysis ...
  
  











  



  
A Primer on Wavelets and Their Scientific Applications, Second Edition (Studies in Advanced Mathematics)7 reviews
James S. Walker

Chapman & Hall/CRC, 2008

Wavelets in 20 simple pages
This is simply the best book I have come across on introducing wavelets. I am sure that within the first 20 pages, which are easy to understand and make for a very quick read, you will begin to see the beauty of this theory and will applaud the author's exposition. While this book does not need much more than basic linear algebra, the author does not shy away from the mathematics where necessary ...
  
  











  



  
An Introduction to the Bootstrap (Monographs on Statistics and Applied Probability)9 reviews
Bradley Efron, R.J. Tibshirani

Chapman & Hall/CRC, 1994

Efron's bootstrap text
Brad Efron wrote the key paper rediscovering the bootstrap and putting it in its proper place with other resampling techniques in his famous 1979 paper in the Annals of Statistics. His work was a breakthrough that has now led to hundreds of other publications and several books on the bootstrap and more general resampling procedures by himself, his students and many other statisticians. In fact I ...
  
  











  



  
Generalized Additive Models: An Introduction with R (Texts in Statistical Science)1 review
Simon Wood

Chapman & Hall/CRC, 2006

Excellent introduction to R
The author has made a great job on making GAM accessible to a wide audience through his exposition in this work. The clear (not detailed) presentation of generalized additive models should be very helpful to many searching for models more flexible than a parametric model. The good explanations are complemented with good examples to cover the theory and the computation. As much as I would like to ...
  
  











  



  
Quantitative Equity Portfolio Management: Modern Techniques and Applications (Chapman & Hall/Crc Financial ...2 reviews
Edward E. Qian, Ronald H. Hua, ...

Chapman & Hall/CRC, 2007

Very practical book on quant portfolios
I never liked Grinold/kahn's super-dry book, admittedly a classic, so I was really glad to have found this book, which provides a practical in-depth look at the various techniques one could use in constructing and managing portfolios. One of the authors, Sorenson, is well-known in the field but all three authors did a good job putting together a coherent and highly usable volume. I'm halfway ...
  
  











  



  
Bayesian Methods: A Social and Behavioral Sciences Approach, Second Edition (Statistics in the Social and ...12 reviews
Jeff Gill

Chapman & Hall/CRC, 2007

extremely well written introduction for social scientists
I have edited this review into two parts because amazon does not allow us to do second reviews of a book even though the second review is on a new and substantiakky reviseed edition. First i will give my review of the second edition and then I will indicate where the review of the first edition begins. I reviewed the first edition of this book when it came out some 5 years ago or so. I liked ...
  
  











  



  
MATLAB Primer, Seventh Edition6 reviews
Timothy A. Davis, Kermit Sigmon

Chapman & Hall/CRC, 2004

Wonderful matlab reference
Excellent text. Contains nice, brief summaries of matlab functionality, with references on where to go to get more verbose explanations. This book is about the size of a postcard. When I need to locate or discover a new function that I'm sure matlab has somewhere, this Primer is usually more effective than the matlab on-line help. Also good for an overview of functionality, an area where ...
  
  











  



  
An Introduction to Credit Risk Modeling (Chapman & Hall/Crc Financial Mathematics Series)7 reviews
Christian Bluhm, Ludger Overbeck

Chapman & Hall/CRC, 2002

a very good book
The authors wanted to write the book that they themselves would have liked to read before starting a profession in risk management. I am working for a treasury consultancy firm. This book was the best of the five I bought. The text is very clear yet does not assume too much prior knowledge. It covers theory as well as industry practice. The book contains much advanced statistics and readers must ...
  
  











  



  
Epidemiology: Study Design and Data Analysis, Second Edition (Texts in Statistical Science)3 reviews
Mark Woodward

Chapman & Hall/CRC, 2004

thorough coverage of statistical methods used in epidemiology
This second edition is a massive text of over 800 pages that covers thoroughly the various study designs and statistical analysis methods used in Epidemiology. I have not seen the first edition so if you are interested in contrasting it with the first edition, the back cover gives a summary of the subjects that are added. This is a very practical book that avoids advanced mathematics and proofs ...
  
  











  








   



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