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Doing Bayesian Data Analysis
book

Doing Bayesian Data Analysis

by John Kruschke
November 2010
Beginner to intermediate
672 pages
19h 28m
English
Academic Press
Content preview from Doing Bayesian Data Analysis
Index

Page numbers followed by “f” indicates figures and “t” indicates tables.

A

Actual data, 333–334
Additive combination
of metric predictors, 364–366, 518
of nominal predictors, 370–371, 371f
Aggregate function in R, 544
Alternative hypothesis, BF for, 306
Analysis of covariance (ANCOVA)
dichotomous outcome adaptation of, 558–559
initializing chains in, 525
metric/nominal predictors in, 525–526
model variations of, 526
nominal predictor, separate slope in, 526
programming of, 525
slope values in, 526
Analysis of variance (ANOVA), 2, 492 See also Logistic ANOVA Multifactor ANOVA Poisson exponential ANOVA
contrasts/complex comparisons and, 527
without homogeneity of variance, 531, 574
interaction contrast and, 527–528
NHST, 495
oneway, 384, ...
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Publisher Resources

ISBN: 9780123814852