Exercises in Statistical Reasoning

Exercises designed to strengthen creative problem-solving skills, designed to encourage readers to understand the key points of a problem while seeking knowledge, rather than separating out these two activities. To complete the exercises, readers may need to reference the literature, which is how research-based knowledge is often acquired.

List of contents

1. Probability. 2. Likelihood Estimation. 3. Exponential Family. 4. Hypothesis Testing & Decision Theory. 5. Linear Models & Regression. 6. Asymptotics. 7. Time Series. 8. Markov Chain Monte Carlo.

About the author

Michael R. Schwob, Yunshan Duan, Beatrice Cantoni, and Bernardo Flores-López are PhD candidates in the Department of Statistics and Data Sciences at The University of Texas at Austin.
Stephen G. Walker is a professor in the Department of Mathematics and the Department of Statistics and Data Sciences at The University of Texas at Austin. He is the holder of the Paul D. and Betty Robertson Meek and American Petrofina Foundation Centennial Professorship in Business in the McCombs School of Business.

Summary

Exercises designed to strengthen creative problem-solving skills, designed to encourage readers to understand the key points of a problem while seeking knowledge, rather than separating out these two activities. To complete the exercises, readers may need to reference the literature, which is how research-based knowledge is often acquired.

Product details

• Authors: Beatrice Cantoni, Yunshan Duan, Bernardo Flores-Lopez, Stephen G. Walker, Michael R. Schwob, Michael Duan R. Schwob
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 07.04.2025
• EAN: 9781032784861
• ISBN: 978-1-0-3278486-1
• No. of pages: 242
• Series: Chapman & Hall/CRC Texts in Statistical Science
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; MATHEMATICS / Probability & Statistics / General, Probability & statistics, Probability and statistics