Introduction to Mathematical Statistics37 reviews Robert V. Hogg, Allen Craig, ... Prentice Hall, 2004 Excellent Introduction to Mathematical Statistics + Excellent Introduction to Mathematical Statistics + Excellent Introduction to Mathematical Statistics + Excellent Introduction to Mathematical Statistics             Time Series: Theory and Methods (Springer Series in Statistics)5 reviews Peter J. Brockwell, Richard A. Davis Springer, 1998 Great book + Time Series: Theory and Methods + Quality of the book + Rigorous, difficult, but feasible + excellent and rigorous treatment of time series methods             Probability and Measure, 3rd Edition11 reviews Patrick Billingsley Wiley-Interscience, 1995 An exceptionally good book + Solid and Elementary + Excellent.... Just beautiful... + The book on probability             Hierarchical Modeling and Analysis for Spatial Data (Monographs on Statistics and Applied Probability)1 review Sudipto Banerjee, Bradley. P. Carlin, ... Chapman & Hall/CRC, 2003 A key text on Bayesian spatial statistics I've bought several spatial statistics books over the years and found they generally fall into one of two categories; oversimplified or cover-to-cover matrix notation, neither of which is very useful for my research. However, this book is "just right," bridging these two extremes. It briefly ...             The Analysis of Variance1 review Henry Scheffé Wiley-Interscience, 1999 The Analysis of Variance This is an elegant and well-written classic. Scheffe's proofs are clear and straightforward, without being too terse. His use of orthogonal bases for vector spaces makes proofs of independence and derivations of distributions easy to understand. _The Analysis of Variance_ has definitely stood ...             Measure, Integral and Probability13 reviews Marek Capinski, Peter E. Kopp Springer, 2007 Very good introduction to measure theory + Great For Self Study + Excellent Book + good book             A Probability Path9 reviews Sidney Resnick Birkhäuser Boston, 1999 some more details + excellent book + A MUST-HAVE!!! + Measure-theoretic probability for everybody             Practical Nonparametric Statistics, 3rd Edition9 reviews W. J. Conover Wiley, 1999 excellent update + Practical indeed! + Clear and practical + Some excellent features and some glaring omissions             Applied Linear Statistical Models8 reviews Michael H Kutner, Christopher J. Nachtsheim, ... McGraw-Hill/Irwin, 2004 Outstanding Non-Theoretic Linear Models Book, HUGE + Excellent + Only stats book I've read cover to cover + The Best Text + Emminetly Readable             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             Understanding Robust and Exploratory Data Analysis Wiley-Interscience, 2000 The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields. With these new unabridged and inexpensiveeditions, Wiley hopes to extend the life of these important works by making themavailable to future generations of mathematicians and scientists. Currently available in the Series: T.W. Anderson The Statistical Analysis ...             Categorical Data Analysis (Wiley Series in Probability and Statistics)7 reviews Alan Agresti Wiley-Interscience, 2002 the masterpiece by the master + The source to understand categorical data and more + Dense and comprehensive + The one to have             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 ...             Introduction to Probability Models, Eighth Edition34 reviews Sheldon M. Ross Academic Press, 2002 New To This Edition Are Five New Sections + one of the best introduction to probability and stochastic processes ".....NEW TO THIS EDITION ARE FIVE NEW SECTIONS, and numerous new examples and exercises, many of which focus on strategies applicable in risk industries such as insurance or acturial work....." "Other Academic Press books by Sheldon Ross: Simulation 3/e, ISBN 0 12 598053 1. Probability Models ...             Stochastic Processes11 reviews Sheldon M. Ross Wiley, 1995 A concise and intuitive introduction to stochastic modeling + Not for beginners and not enough worked exercises! + A solid introduction to stochastic processes + Good             An Introduction to Multivariate Statistical Analysis (Wiley Series in Probability and Statistics)4 reviews T. W. Anderson Wiley-Interscience, 2003 classic text from 1958 revised + good book on multivariate analysis and pca + second edition of classic multivariate text + Accessible. Comprehensive. Delicious.             Theory of Multivariate Statistics (Springer Texts in Statistics) Martin Bilodeau, David Brenner Springer, 1999 Our object in writing this book is to present the main results of the modern theory of multivariate statistics to an audience of advanced students who would appreciate a concise and mathematically rigorous treatment of that material. It is intended for use as a textbook by students taking a first graduate course in the subject, as well as for the general reference of interested research workers ...             Real Analysis and Probability8 reviews R. M. Dudley Cambridge University Press, 2002 A classic text in theoretical probability + masterpiece + A classic + one of the best             The Analysis of Variance1 review Henry Scheffé Wiley-Interscience, 1999 The Analysis of Variance This is an elegant and well-written classic. Scheffe's proofs are clear and straightforward, without being too terse. His use of orthogonal bases for vector spaces makes proofs of independence and derivations of distributions easy to understand. _The Analysis of Variance_ has definitely stood ...             Applied Linear Statistical Models8 reviews Michael H Kutner, Christopher J. Nachtsheim, ... McGraw-Hill/Irwin, 2004 Outstanding Non-Theoretic Linear Models Book, HUGE + Excellent + Only stats book I've read cover to cover + The Best Text + Emminetly Readable