November 2010
Beginner to intermediate
672 pages
19h 28m
English
Content preview from Doing Bayesian Data Analysis
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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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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.