Finite Mixture Distributions
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THE THESIS
This book investigates the statistical modeling of data that arises from a mixture of underlying probability distributions. It provides a comprehensive overview of the theory and application of finite mixture models, drawing on the author's extensive experience in statistical research and practice.
THE SCOPE MAP
- What You Will Find:
- Theoretical underpinnings of finite mixture models, including parameter estimation and model selection.
- Discussion of various algorithms for fitting mixture models, such as the Expectation-Maximization (EM) algorithm.
- Applications of mixture models in diverse fields, including psychology, biology, and econometrics.
- Examination of different types of mixture distributions, such as normal, binomial, and Poisson mixtures.
THE AUTHORITY PERSPECTIVE
This text is recognized as a foundational work in the statistical analysis of mixture distributions. It is valued for its rigorous theoretical treatment and practical guidance on model fitting and interpretation. The book is likely to be considered an essential reference for statisticians and researchers working with complex data structures.
Page Count:
143
Publication Date:
1981-01-01
ISBN-10:
0412224208
Science
Mathematics
Probability
Statistics
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