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%2F9781441978653#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/10.1007/9780387400655 
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 

