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Probability and Bayesian Modeling [Modelling] (Instructor Solution Manual, Solutions)

โœ Scribed by Jim Albert, Jingchen Hu


Publisher
Chapman and Hall/CRC
Year
2019
Tongue
English
Leaves
322
Series
Chapman & Hall/CRC Texts in Statistical Science
Edition
1
Category
Library

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โœฆ Table of Contents


Chapter 1 - Probability: A Measure of Uncertainty
Chapter 2 - Counting Methods
Chapter 3 - Conditional Probability
Chapter 4 - Discrete Distributions
Chapter 5 - Continuous Distributions
Chapter 6 - Joint Probability Distributions
Chapter 7: Learning About a Binomial Probability
Chapter 8: Modeling Measurement and Count Data
Chapter 9: Simulation by Markov Chain Monte Carlo
Chapter 10: Bayesian Hierarchical Modeling
Chapter 11: Simple Linear Regression
Chapter 12 Bayesian Multiple Regression and Logistic Models
Chapter 13 Case Studies


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