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COURSE-SPECIFIC BOOKS

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Last update: 02/7/2018
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Course Book Title Author Last Name(s) Last used Edition used Note
20000 Statistics Freedman, Pisani, Purves Winter
2018
4th Required
22000 OpenIntro Statistics
Available online: https://www.openintro.org/stat/textbook.php?stat_book=os
Diez, Barr, Cetinkaya-Rundel Winter
2018
3rd Required
22200 A First Course in Design and Analysis of Experiments Oehlert Spring 2017 1st Required
22400 Regression Analysis By Example Chatterjee, Hadi, Price Autumn 2017 5th Required
22600 Introduction to Categorical Data Analysis Agresti Winter 2018 2nd Required
23400 OpenIntro Statistics
Available online: https://www.openintro.org/stat/textbook.php?stat_book=os
Diez, Barr, Cetinkaya-Rundel Winter
2018
3rd Required
24300=30750 Linear Algebra and Its Applications Strang Autumn 2017 4th Recommended
24300=30750 Fundamentals of Matrix Computation Watkins Autumn 2017 3rd Recommended
24400/24500 Mathematical Statistics and Data Analysis Rice Winter
2018
3rd Required
24410=30030 Mathematical Statistics and Data Analysis Rice Autumn 2017 3rd Required
24510=30040 Mathematical Statistics and Data Analysis Rice Winter
2018
3rd Required
24620=32950 TBD        
25100 Probability Pitman Autumn 2017 1st Required
25150 Probability Pitman Spring 2016 1st Required
25300=31700 Introduction to Probability Models Ross Winter 2018 11th 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 Autumn 2017 3rd Required
26700=36700 History of Statistics: The Measurement of Uncertainty Before 1900 Stigler Spring 2017 1st Recommended
26700=36700 The Seven Pillars of Statistical Wisdom Stigler Spring 2017 1st Required
27400=37400 All of Nonparametric Statistics Wasserman Winter 2018 1st Recommended
28000 No required textbook   Spring 2016    
28200 Nonlinear Dynamics and Chaos Strogatz Winter 2018 Any Recommended
28750=30850 No required textbook   Winter 2017    
30100 Statistical Inference Casella, Berger Winter 2018 2nd Required
30100 Course in Large Sample Theory Ferguson Winter 2018 1st Required
30210 No required textbook   Spring 2017    
30400 Elements of Distribution Theory Severini Autumn 2017 1st Recommended
30600 No required textbook   Spring 2017    
30800 No required textbook   Autumn 2017    
30900 Matrix Computations Golub, Van Loan Autumn 2017 4th Recommended
31015 Convex Optimization Boyd, Vandenberghe Winter 2018 1st Recommended
31020 Numerical Optimization
Available online: http://link.springer.com.proxy.uchicago.edu/book/10.1007/978-0-387-40065-5
Nocedal, Wright Winter 2018 2nd Required
31080 No required textbook   Winter 2017    
31100 Numerical Models for Differential Problems LeBris Spring 2017 2nd Recommended
31200 No required textbook   Autumn 2017    
31210 Applied Analysis
Available online: https://www.math.ucdavis.edu/~bxn/applied_analysis.pdf
Hunter, Nachtergaele Winter 2018   Recommended
31300 Stochastic Processes Ross Spring 2013 2nd Recommended
31511 No required textbook   Autumn 2017    
31521 No required textbook   Winter 2018    
33100 Introduction to Variance Estimation (all) Wolter Autumn 2017 2nd Required
33100 Sampling Techniques Cochran Autumn 2017 3rd Required
33100 Model Assisted Survey Sampling Sarndal, Swensson, Wretman Autumn 2017 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 2017 1st Recommended
34500 Statistical Principles for the Design of Experiments Mead, Gilmour, Mead Winter 2017 1st Recommended
34500 Theory of Design of Experiments Cox, Reid Winter 2017 1st Recommended
34500 Planning of Experiments Cox Winter 2017 1st Recommended
34500 Design of Comparative Experiments Bailey Winter 2017 1st Recommended
34700 Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models Faraway Winter 2018 2nd Recommended
34900 No required textbook   Autumn 2017    
35400 No required textbook   Spring 2016    
35450 Introduction to Probability Models Ross Winter 2018 11th Recommended
35500 No required textbook   Spring 2017    
36350 Optimal Estimation of Dynamic Systems Crassidis,
Junkins
Spring 2016 2nd Recommended
36600 No required textbook   Spring 2017    
37601 No required textbook   Spring 2017    
37710 No required textbook   Spring 2017    
37750 No required textbook   Spring 2014    
37790 No required textbook   Spring 2017    
37810 The Elements of Statistical Learning: Data Mining, Inference, and Prediction Hastie Autumn 2017 2nd Reference only
37820 The Elements of Statistical Learning: Data Mining, Inference, and Prediction Hastie Autumn 2017 2nd Reference only
38100 Probability and Measure Billingsley Winter 2016 4th Recommended
38100 An Introduction to Measure Theory Tao Winter 2018 1st Recommended
38300 Probability and Measure Billingsley Spring 2016 4th Recommended
38500 No required textbook   Autumn 2014    
38510 No required textbook   Autumn 2017    
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 2018    
41500 No required textbook   Winter 2018    
41600 No required textbook   Winter 2017    
42510 No required textbook   Autumn 2016    
42520 No required textbook   Winter 2017    
42600 No required textbook   Spring 2015    
45800 No required textbook   Winter 2015