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A Gentle Introduction to Finite Mixture Models
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The FMM Procedure
Overview
Basic Features
Assumptions
Notation for the Finite Mixture Model
PROC FMM Contrasted with Other SAS Procedures
Getting Started
Mixture Modeling for Binomial Overdispersion: Student, Pearson, Beer, and Yeast
Modeling Zero-Inflation: Is it Better to Fish Poorly or Not to Have Fished at All?
Looking for Multiple Modes: Are Galaxies Clustered?
Syntax
PROC FMM Statement
BAYES Statement
BY Statement
CLASS Statement
FREQ Statement
ID Statement
MODEL Statement
OUTPUT Statement
PERFORMANCE Statement
PROBMODEL Statement
RESTRICT Statement
WEIGHT Statement
Details
A Gentle Introduction to Finite Mixture Models
Log-Likelihood Functions for Response Distributions
Bayesian Analysis
Parameterization of Model Effects
Default Output
ODS Table Names
ODS Graphics
Examples
Modeling Mixing Probabilities: All Mice Are Created Equal, but Some Are More Equal
The Usefulness of Custom Starting Values: When Do Cows Eat?
Enforcing Homogeneity Constraints: Count and Dispersion—It Is All Over!
References
A Gentle Introduction to Finite Mixture Models
Subsections:
The Form of the Finite Mixture Model
Mixture Models Contrasted with Mixing and Mixed Models: Untangling the Terminology Web
Overdispersion
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