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Science Computer Science R Books Categories
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Applied Linear Statistical Models (Hardcover)
By:
John Neter
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An Introduction to R: A Programming Environment for Data Analysis and Graphics (Paperback)
By:
W.N. Venables
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Statistical Computing with R (Kindle Edition)
By:
Maria L. Rizzo
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Analyzing Ecological Data (Statistics for Biology and Health)
By:
Alain F. Zuur
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The Analysis of Biological Data (Hardcover)
By:
Michael C. Whitlock
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Statistics for Spatial Data (Revised Edition)
By:
Noel A.C. Cressie
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Applied Statistics and Probability for Engineers [With Free Access to Online Student Resources] (Hardcover)
By:
Douglas C. Montgomery
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Bayesian Computation with R (Use R)
By:
Jim Albert
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Introductory Econometrics: A Modern Approach (Hardcover)
By:
Jeffrey M. Wooldridge
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Biostatistics: The Bare Essentials [with SPSS] (Paperback)
By:
Geoffrey R. Norman
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A First Course in Statistical Programming with R (Paperback)
By:
W. John Braun
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Statistical Inference (Hardcover)
By:
George Casella
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Matrix Algebra Useful for Statistics (Hardcover)
By:
Shayle R. Searle
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Guide to Econometrics (Paperback)
By:
Peter E. Kennedy
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Applied Multivariate Statistical Analysis (Hardcover)
By:
Richard A. Johnson
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The R Book (Hardcover)
By:
Michael J. Crawley
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A Modern Introduction to Probability and Statistics: Understanding Why and How (Springer Texts in Statistics)
By:
F.M. Dekking
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Modern Applied Statistics with S (Hardcover)
By:
W.N. Venables
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Analyzing Multivariate Data (with CD-ROM) (Duxbury Applied Series)
By:
James M. Lattin
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Discovering Statistics Using R (Paperback)
By:
Andy Field
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Applied Spatial Data Analysis with R (Use R!)
By:
Roger S.; Pebesma Bivand
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Design and Analysis of Experiments (Hardcover)
By:
Douglas C. Montgomery
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The Essentials of Data Science: Knowledge Discovery Using R (Kindle Edition)
By:
Graham J. Williams
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All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)
By:
Larry Wasserman
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Introductory Biostatistics (Hardcover)
By:
Chap T. Le
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Data Manipulation with R (Use R!)
By:
Phil Spector
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Introduction to Time Series and Forecasting (Springer Texts in Statistics)
By:
Peter J. Brockwell
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Linear Models for the Prediction of Animal Breeding Values (Paperback)
By:
R.A. Mrode
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A Handbook of Statistical Analyses Using R (Paperback)
By:
Torsten Hothorn
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Biostatistical Analysis (Hardcover)
By:
Jerrold H. Zar
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Fundamentals Of Biostatistics (Hardcover)
By:
Bernard Rosner
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Learning Microeconometrics with R (Kindle Edition)
By:
Christopher P. Adams
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An Introduction to Analysis (Hardcover)
By:
William R. Wade
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Advanced R (Chapman & Hall/CRC The R Series)
By:
Hadley Wickham
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R in a Nutshell (Paperback)
By:
Joseph Adler
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A Beginner's Guide to R (Use R!)
By:
Alain F. Zuur
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The R Primer (Kindle Edition)
By:
Claus Thorn Ekstrom
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Analysis of Financial Time Series (Wiley Series in Probability and Statistics)
By:
Ruey S. Tsay
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Applied Statistics and the SAS Programming Language (Paperback)
By:
Ronald P. Cody
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Model-based Geostatistics (Springer Series in Statistics)
By:
Peter J. Diggle
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R for Everyone: Advanced Analytics and Graphics (ebook)
By:
Jared P. Lander
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Linear Models with R (Chapman & Hall/CRC Texts in Statistical Science)
By:
Julian James Faraway
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An R and S-Plus® Companion to Multivariate Analysis (Hardcover)
By:
Brian S. Everitt
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Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC: The R Series)
By:
Professor in the Department of Statistics Deborah Nolan
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Generalized Additive Models: An Introduction with R (Hardcover)
By:
Simon N. Wood
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Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Chapman & Hall/CRC Texts in Statistical Science)
By:
Julian James Faraway
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The Little SAS Book: A Primer (Paperback)
By:
Lora D. Delwiche
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ggplot2: Elegant Graphics for Data Analysis (Use R!)
By:
Hadley Wickham
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