Probability and Statistical Inference, 10th Edition
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Book Description:
Explore key concepts in Probability and Statistical Inference, 10th Edition by Hogg, Tanis, Zimmerman, and Huberty. Master both classical and Bayesian statistical methods through practical applications and advanced analysis. Essential for students and professionals. ISBN: 978-9353947781.
Probability and Statistical Inference, 10th Edition
Authors: Robert V. Hogg, Elliot A. Tanis, Dale L. Zimmerman, Carol J. Huberty
Publisher: Pearson
ISBN: 978-9353947781
Description: This comprehensive textbook presents an in-depth introduction to probability and statistical inference with a balance between classical and Bayesian approaches. It emphasizes practical applications and includes new content on Bayesian inference, data mining, and statistical computing, suitable for students with a strong mathematical foundation. The book can serve both as an intermediate-level course textbook and a reference for professionals.
Contents:
- Part I: Introduction to Probability
- Part II: Statistical Inference
- Part III: Bayesian Analysis
Key Features:
- Detailed sections on probability distributions, random variables, and conditional probability.
- Comprehensive coverage of statistical inference, including estimation, hypothesis testing, and regression analysis.
- An introduction to Bayesian analysis featuring Bayesian inference and modeling.
- Numerous examples and exercises to reinforce concepts.
This edition is designed to be engaging and informative for both students and professional audiences, fostering a deeper understanding of the subject.
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