Search Results for: Statistical Analysis Of Finite Mixture Distributions

Statistical Analysis of Finite Mixture Distributions

Statistical Analysis of Finite Mixture Distributions
Author :
Publisher :
Total Pages : 264
Release :
ISBN-10 : UCSD:31822002319770
ISBN-13 :
Rating : 4/5 (70 Downloads)
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Book Synopsis Statistical Analysis of Finite Mixture Distributions by : D. M. Titterington

Download or read book Statistical Analysis of Finite Mixture Distributions written by D. M. Titterington and published by . This book was released on 1985 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, the authors give a complete account of the applications, mathematical structure and statistical analysis of finite mixture distributions.


Statistical Analysis of Finite Mixture Distributions Related Books

Statistical Analysis of Finite Mixture Distributions
Language: en
Pages: 264

Statistical Analysis of Finite Mixture Distributions

Authors: D. M. Titterington
Categories: Mathematics
Type: BOOK - Published: 1985 - Publisher:

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In this book, the authors give a complete account of the applications, mathematical structure and statistical analysis of finite mixture distributions.
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An up-to-date, comprehensive account of major issues in finitemixture modeling This volume provides an up-to-date account of the theory andapplications of model
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Categories: Science
Type: BOOK - Published: 2013-03-08 - Publisher: Springer Science & Business Media

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Finite mixture distributions arise in a variety of applications ranging from the length distribution of fish to the content of DNA in the nuclei of liver cells.
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Finite Mixture of Skewed Distributions

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This book presents recent results in finite mixtures of skewed distributions to prepare readers to undertake mixture models using scale mixtures of skew normal
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Finite Mixture and Markov Switching Models

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Categories: Mathematics
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The past decade has seen powerful new computational tools for modeling which combine a Bayesian approach with recent Monte simulation techniques based on Markov