Course | Book Title | Author Last Name(s) | Last used | Edition used | Note |
20000 | Statistics | Freedman, Pisani, Purves | Winter 2018 |
4th | Required |
22000 | OpenIntro Statistics |
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 |
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 | 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 |