This is a list of possible textbooks that could be used in your course, please consult your course syllabus to confirm which textbook will be used for that course. Instructors may recommend additional texts that are not listed here.
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Fall 2022
Course Title Author Edition 5A Statclass (currently out of print with the publisher) Holmes and Lenaburg 2nd 5H Check with the instructor 8 Concise Intro To Pure Mathematics Martin Liebeck 4th Discrete Mathematics and its Applications K.H. Rosen 8th Book of Proof Richard Hammack 10 The Book of R: A First Course in Programming and Statistics Tilman M. Davies 105 Check with the instructor 115 Check with the instructor 120A Introduction to Probability Anderson, Seppalainen, and Valko 120B Mathematical Statistics with Applications Wackerly, Mendenhall and Scheaffer 7th 120C Mathematical Statistics with Applications Wackerly, Mendenhall and Scheaffer 7th 122 Design and Analysis of Experiments Montgomery 10th 126 Applied Linear Regression Weisberg 4th Linear Models with R Julian J. Faraway 2nd 130 The Little SAS Book Delwiche 6th 131/231 An Introduction to Statistical Learning James, Witten, Hastie, Tibshirani Introduction to Data Mining Tan 2nd 134/234 Check with the instructor 160A Introduction to Stochastic Processes with R Robert P. Dobrow Introduction to Probability Models Ross 11th 160B Introduction to Stochastic Processes with R Robert P. Dobrow Introduction to Probability Models Ross 11th 170 Derivatives Markets McDonald 3rd 171 Mathematics of Investment & Credit Broverman 6th Mathematical Interest Theory Daniel and Vaaler 2nd 173 Loss Models: From Data to Decisions Klugman 5th 174/274 Time Series Analysis and Its Applications with R Examples Shumway & Stoffer 3rd Introduction to Time Series Brockwell, Davis 3rd 175 Modeling Survival Data in Medical Research Collett 3rd Survival Analysis, A Self Learning Text, Kleinbaum and Klein 3rd 182T Check with the instructor
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Winter 2023
Course Title Author Edition 5A Statclass (currently out of print with the publisher) Holmes and Lenaburg 2nd 5H Check with the instructor 5LS Practice of Statistics in Life Sciences (Looseleaf & Access Code) Baldi 8 Concise Intro To Pure Mathematics Martin Liebeck 4th Discrete Mathematics and its Applications K.H. Rosen 8th Book of Proof Richard Hammack 10 The Book of R: A First Course in Programming and Statistics Tilman M. Davies 100 Check with the instructor 115 Check with the instructor 120A Introduction to Probability Anderson, Seppalainen, and Valko 120B Mathematical Statistics with Applications Wackerly, Mendenhall and Scheaffer 7th 122 Design and Analysis of Experiments Montgomery 10th 126 Applied Linear Regression Weisberg 4th Linear Models with R Julian J. Faraway 2nd 127 Extending the Linear Model with R Julian J. Faraway 2nd 130 The Little SAS Book Delwiche 6th 131/231 An Introduction to Statistical Learning James, Witten, Hastie, Tibshirani Introduction to Data Mining Tan 2nd 134/234 Check with the instructor 160A Introduction to Stochastic Processes with R Robert P. Dobrow Introduction to Probability Models Ross 11th 160B Introduction to Stochastic Processes with R Robert P. Dobrow Introduction to Probability Models Ross 11th 170 Derivatives Markets McDonald 3rd 171 Mathematics of Investment & Credit Broverman 6th Mathematical Interest Theory Daniel and Vaaler 2nd 172A Actuarial Mathematics for Life Contigent Risks Dickson, Hardy, & Waters 2nd 174/274 Time Series Analysis and Its Applications with R Examples Shumway & Stoffer 3rd Introduction to Time Series Brockwell, Davis 3rd 182T Check with the instructor 207B An Introduction to Probability and Statistics Rohatgi and Saleh 3rd 213B Probability and Random Processes Grimmett and Stirzake 3rd Probability, Theory and Examples Durrett 3rd A Probability Path Sidney I. Resnick 4th Continuous Martingales and Brownian Motion Revuz and Yor 1st Stochastic Differential Equations Oksendal 215B Bayesian Data Analysis Gelman, Carlin, Stern, Dunson, Vehtari, and Rubin 3rd 223B Arbitrage Theory in Continuous Time Bjork 3rd Stochastic Differential Equations Oksendal 6th Other Check with the instructor for other courses not listed here
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Spring 2023
Course Title Author Edition 5A Statclass (currently out of print with the publisher) Holmes and Lenaburg 2nd 5H Check with the instructor 5LS Practice of Statistics in Life Sciences (Looseleaf & Access Code) Baldi 8 Concise Intro To Pure Mathematics Martin Liebeck 4th Discrete Mathematics and its Applications K.H. Rosen 8th Book of Proof Richard Hammack 10 The Book of R: A First Course in Programming and Statistics Tilman M. Davies 100 Check with the instructor 115 Check with the instructor 120A Introduction to Probability Anderson, Seppalainen, and Valko 120B Mathematical Statistics with Applications Wackerly, Mendenhall and Scheaffer 7th 120C Mathematical Statistics with Applications Wackerly, Mendenhall and Scheaffer 7th 122 Design and Analysis of Experiments Montgomery 10th 126 Applied Linear Regression Weisberg 4th Linear Models with R Julian J. Faraway 2nd 127 Extending the Linear Model with R Julian J. Faraway 2nd 130 The Little SAS Book Delwiche 6th 131/231 An Introduction to Statistical Learning James, Witten, Hastie, Tibshirani Introduction to Data Mining Tan 2nd 134/234 Check with the instructor 160A Introduction to Stochastic Processes with R Robert P. Dobrow Introduction to Probability Models Ross 11th 160B Introduction to Stochastic Processes with R Robert P. Dobrow Introduction to Probability Models Ross 11th 170 Derivatives Markets McDonald 3rd 171 Mathematics of Investment & Credit Broverman 6th Mathematical Interest Theory Daniel and Vaaler 2nd 172B Actuarial Mathematics for Life Contigent Risks Dickson, Hardy, & Waters 2nd 174/274 Time Series Analysis and Its Applications with R Examples Shumway & Stoffer 3rd Introduction to Time Series Brockwell, Davis 3rd 176/276 Check with the instructor 183 Check with the instructor 194FM Check with the instructor 197C Check with the instructor 207C An Introduction to Probability and Statistics Rohatgi and Saleh 3rd 213C Probability and Random Processes Grimmett and Stirzake 3rd Probability, Theory and Examples Durrett 3rd A Probability Path Sidney I. Resnick 4th Continuous Martingales and Brownian Motion Revuz and Yor 1st Stochastic Differential Equations Oksendal 223C Arbitrage Theory in Continuous Time Bjork 3rd Stochastic Differential Equations Oksendal 6th Other Check with the instructor for other courses not listed here