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Probability and Random Processes 17 reviews
Geoffrey R. Grimmett, David R. Stirzaker
Oxford University Press, USA, 2001
Graduate Probability
+ Some rigorous
I don't think people should degrade this book because they found it to be tough. They have to blame the person or persons who chose to use the book. I think this book should be used for graduate studies in probability. Maybe people don't understand what graduate studies are all about. You are ...
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Numerical Analysis for Statisticians3 reviews
Kenneth Lange
Springer, 2000
best since Ron Thisted's book
+ best stat computing book since Thisted
Ron Thisted's book on computing algorithms for statisticians was one of the most useful and clearly written texts on the topic. There have also been a few other good ones. Lange brings to the table a more current book that deals with the key new methods such as resampling, Markov chain Monte Carlo, ...
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Statistical Inference 34 reviews
George Casella, Roger L. Berger
Duxbury Press, 2001
Great textbook.
+ Good Introduction to Probability Theory, Mathematical Statistics and Estimation
+ GOOOOOOOD
This is a fantastic book. It is very well written and is a pleasure to read. The problems at the end of each chapter are extensive and help get a very good understanding of the material. This was the required text for a quarter based graduate level course on Statistical Inference. We had an ...
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Introduction to Time Series and Forecasting10 reviews
Peter J. Brockwell, Richard A. Davis
Springer, 2003
good modern cover of both time and frequency domains
+ Awesome
In contrast to their graduate text "Time Series: Theory and Methods" this book is more elementary and introductory and is pitched at the advanced undergraduate level requiring only calculus, elementary statistics and matrix algebra. It gives very good coverage to a wide variety of time series ...
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All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics) 8 reviews
Larry Wasserman
Springer, 2004
all of statistics in just this little book?
+ Excellent at times, but only a summary or introduction: far from thorough
+ Great for a quick summary of the basics
+ Extremely Good Book
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Probability & Measure Theory, Second Edition 5 reviews
Catherine A. Doléans-Dade
Academic Press, 1999
The best introduction to probability and measure
+ Good
+ Excellent and rigurous
+ Good, but needs considerable background
+ Exceptionally Clear
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A First Course in Linear Model Theory1 review
Nalini Ravishanker, Dipak K. Dey
Chapman & Hall/CRC, 2001
Excellent Introductory book
This book may serve as an excellent introductory tool to a graduate linear models class; specially for students who come from fields not all that related to math and statistics. The book starts with a broad review of linear algebra (it even mentions the forgotten tool of reduced row echelon form to ...
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Time Series: Theory and Methods (Springer Series in Statistics)4 reviews
Peter J. Brockwell, Richard A. Davis
Springer, 1998
Great book
+ Time Series: Theory and Methods
+ Rigorous, difficult, but feasible
+ excellent and rigorous treatment of time series methods
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Modern Applied Statistics with S16 reviews
W.N. Venables, B.D. Ripley
Springer, 2003
one of the best applied books on statistics that uses S
+ Essential Reference
+ Excellent, but be aware of what you are buying
+ A Course in Applied Statistics
+ Great reference book
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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
+ Decent for engineers
+ Very Excellent, but non-statisticians should start elsewhere
+ As Good As It Gets For An Intro To Bayes
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Theory of Point Estimation (Springer Texts in Statistics)11 reviews
E.L. Lehmann, George Casella
Springer, 2003
highly theoretical text
+ Bible of estimation theory
+ Excellent book
Erich Lehmann wrote this classic text on point estimation as the companion to his earlier masterpiece on hypothesis testing. The book lived up to the standard set by the other text. This edition, now published by Springer-Verlag was revised with the help of George Casella who is also an excellent ...
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All of Nonparametric Statistics (Springer Texts in Statistics)2 reviews
Larry Wasserman
Springer, 2007
I don't think it is quite all of nonparametrics but good topics well presented in brief
+ 10-to-1 Equation to Text Ratio
This is a very nice and concisely written account of the field of nonparametrics. It is very bold for an athor to use "all" in the title nad I am sure that Wasserman does this with tongue in cheek. He has been even bolder with his other book called "All of Statistics." However I think that it can ...
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Applied Linear Regression (Wiley Series in Probability and Statistics) 7 reviews
Sanford Weisberg
Wiley-Interscience, 2005
Poor explanation
The explanation is hard to understand.
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The Elements of Statistical Learning27 reviews
T. Hastie, R. Tibshirani, ...
Springer, 2003
data mining from the viewpoint of statisticians
+ Good Book!
+ Excellent technical and conceptual overview
+ elements of statistical learning
+ Great statistics book.
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Statistical Inference34 reviews
George Casella, Roger L. Berger
Duxbury Press, 2001
Great textbook.
+ Good Introduction to Probability Theory, Mathematical Statistics and Estimation
+ GOOOOOOOD
This is a fantastic book. It is very well written and is a pleasure to read. The problems at the end of each chapter are extensive and help get a very good understanding of the material. This was the required text for a quarter based graduate level course on Statistical Inference. We had an ...
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Applied Linear Regression (Wiley Series in Probability and Statistics)7 reviews
Sanford Weisberg
Wiley-Interscience, 2005
Poor explanation
The explanation is hard to understand.
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Time Series: Theory and Methods (Springer Series in Statistics)4 reviews
Peter J. Brockwell, Richard A. Davis
Springer, 1998
Great book
+ Time Series: Theory and Methods
+ Rigorous, difficult, but feasible
+ excellent and rigorous treatment of time series methods
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All of Nonparametric Statistics (Springer Texts in Statistics)2 reviews
Larry Wasserman
Springer, 2007
I don't think it is quite all of nonparametrics but good topics well presented in brief
+ 10-to-1 Equation to Text Ratio
This is a very nice and concisely written account of the field of nonparametrics. It is very bold for an athor to use "all" in the title nad I am sure that Wasserman does this with tongue in cheek. He has been even bolder with his other book called "All of Statistics." However I think that it can ...
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Modern Applied Statistics with S16 reviews
W.N. Venables, B.D. Ripley
Springer, 2003
one of the best applied books on statistics that uses S
+ Essential Reference
+ Excellent, but be aware of what you are buying
+ A Course in Applied Statistics
+ Great reference book
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Probability & Measure Theory, Second Edition5 reviews
Catherine A. Doléans-Dade
Academic Press, 1999
The best introduction to probability and measure
+ Good
+ Excellent and rigurous
+ Good, but needs considerable background
+ Exceptionally Clear
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