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COURSE-SPECIFIC BOOKS

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Last update: 08/25/2016
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Course Book Title Author Last Name(s) Last used Edition used Note
20000 Statistics Freedman, Pisani, Purves Spring
2016
3rd Required
22000 Introduction to the Practice of Statistics Moore, McCabe, Craig Spring 2016 8th Required
22200 A First Course in Design and Analysis of Experiments Oehlert Spring 2016 1st Required
22400 Regression Analysis By Example Chatterjee, Hadi, Price Spring 2016 5th Required
22600 Introduction to Categorical Data Analysis Agresti Winter 2016 2nd Required
23400 Introduction to the Practice of Statistics Moore, McCabe, Craig Spring 2016 8th Required
24300=30750 Linear Algebra and Its Applications Strang Autumn 2015 4th Recommended
24300=30750 Fundamentals of Matrix Computation Watkins Autumn 2015 3rd Recommended
24400=24500 Mathematical Statistics and Data Analysis Rice Winter 2016 3rd Required
24410 Mathematical Statistics and Data Analysis Rice Autumn 2016 3rd Required
24610=37500 Pattern Recognition and Machine Learning Bishop Spring 2016 1st Recommended
25100 Probability Pitman Spring 2016 1st Required
25150 Probability Pitman Spring 2016 1st Required
25300=31700 Introduction to Probability Models Ross Winter 2014 10th Recommended
26100=33600 Time Series Analysis and Its Applications with R Examples
Available online: http://link.springer.com/book/10.1007%2F978-1-4419-7865-3#section=811545&page=10&locus=74
Shumay, Stoffer Winter 2016 3rd Required
26700=36700 History of Statistics: The Measurement of Uncertainty Before 1900 Stigler Spring 2016 1st Recommended
26700=36700 The Seven Pillars of Statistical Wisdom Stigler Spring 2016 1st Required
27400=37400 All of Nonparametric Statistics Wasserman Winter 2016 1st Recommended
28000 No required textbook   Spring 2016    
28200 TBD   Winter 2017    
28750=30850 No required textbook   Winter 2016    
30100 Statistical Inference Casella, Berger Winter 2016 2nd Required
30100 Course in Large Sample Theory Ferguson Winter 2016 1st Required
30210 Generalized Linear Models McCullagh, Nelder Spring 2016 2nd Recommended
30400 Elements of Distribution Theory Severini Autumn 2015 1st Recommended
30600 No required textbook   Autumn 2013    
30800 No required textbook   Autumn 2015    
30900 Matrix Computations Golub, Van Loan Autumn 2015 4th Recommended
31015 No required textbook   Winter 2015    
31020 Numerical Optimization
Available online: http://link.springer.com.proxy.uchicago.edu/book/10.1007/978-0-387-40065-5
Nocedal, Wright Winter 2016 2nd Required
31061 No required textbook        
31095 No required textbook   Autumn 2015    
31100 No required textbook   Spring 2016    
31200 No required textbook   Autumn 2015    
31300 Stochastic Processes Ross Spring 2013 2nd Recommended
31510 Monte Carlo Strategies in Scientific Computing Liu Autumn 2015 1st Recommended
31520 No required textbook   Winter 2016    
32950 Applied Multivariate Statistical Analysis Johnson, Wichern Winter 2016 6th Recommended
33100 Introduction to Variance Estimation (all) Wolter Autumn 2015 2nd Required
33100 Sampling Techniques Cochran Autumn 2015 3rd Required
33100 Model Assisted Survey Sampling Sarndal, Swensson, Wretman Autumn 2015 1st Recommended
33560 No required textbook   Spring 2014    
33610 No required textbook   Autumn 2009    
33970 No required textbook   Winter 2016    
34000 No required textbook   Spring 2015    
34300 Linear Models with R Faraway Autumn 2015 1st Recommended
34500 Statistical Principles for the Design of Experiments Mead, Gilmour, Mead Winter 2016 1st Recommended
34700 Generalized Linear Models McCullagh, Nelder Spring 2016 1st Recommended
35400 No required textbook   Spring 2016    
35500 No required textbook   Spring 2016    
36350 Optimal Estimation of Dynamic Systems Crassidis,
Junkins
Spring 2016 2nd Recommended
37601 No required textbook   Spring 2015    
37710 Machine Learning: A Probabilistic Perspective Murphy Spring 2016 1st Optional
37750 No required textbook   Spring 2014    
37790 No required textbook   Spring 2016    
37810 The Elements of Statistical Learning: Data Mining, Inference, and Prediction Hastie Autumn 2015 2nd Reference only
37820 The Elements of Statistical Learning: Data Mining, Inference, and Prediction Hastie Autumn 2015 2nd Reference only
38100 Probability and Measure Billingsley Winter 2016 4th Recommended
38100 An Introduction to Measure Theory Tao Winter 2016 1st Recommended
38300 Probability and Measure Billingsley Spring 2014 4th Recommended
38500 No required textbook   Autumn 2013    
38600 No required textbook   Winter 2013    
38620 No required textbook   Winter 2014    
38650 No required textbook   Winter 2012    
38660 No required textbook   Autumn 2015    
39000 No required textbook   Winter 2016    
41500 No required textbook   Autumn 2015    
41600 No required textbook   Spring 2016    
42510 No required textbook   Autumn 2015    
42520 No required textbook   Winter 2016    
42600 No required textbook   Spring 2015    
45800 No required textbook   Winter 2015