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Doing Bayesian Data Analysis by John Kruschke

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Chapter 22

Contingency Table Analysis

Contents

22.1 Poisson Exponential ANOVA

22.1.1 What the Data Look Like

22.1.2 The Exponential Link Function

22.1.3 The Poisson Likelihood

22.1.4 The Parameters and the Hierarchical Prior

22.2 Examples

22.2.1 Credible Intervals on Cell Probabilities

22.3 Log Linear Models for Contingency Tables

22.4 R Code for the Poisson Exponential Model

22.5 Exercises

Count me the hours that we’ve been together, I’ll

Count you the hours I’m light as a feather, but

‘Cause every hour you’re all that I see, there’s

No telling if there’s a contingency.

Consider a situation in which we observe two nominal values about every item measured. For example, suppose there is an election, and we poll randomly selected people regarding ...

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