Finite Mixture of Skewed Distributions

• Main Authors: Lachos Dávila, Víctor Hugo (Author, http://id.loc.gov/vocabulary/relators/aut), Cabral, Celso Rômulo Barbosa (http://id.loc.gov/vocabulary/relators/aut), Zeller, Camila Borelli (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: SpringerBriefs in Statistics - ABE,
• Subjects: Statistics .; Statistical Theory and Methods.; Statistics for Life Sciences, Medicine, Health Sciences.; Statistics and Computing/Statistics Programs.

This book presents recent results in finite mixtures of skewed distributions to prepare readers to undertake mixture models using scale mixtures of skew normal distributions (SMSN). For this purpose, the authors consider maximum likelihood estimation for univariate and multivariate finite mixtures w...

Table of Contents:

• Chapter 1: Motivation
• Chapter 2: Maximum Likelihood Estimation in Normal Mixtures
• Chapter 3: Scale Mixtures of Skew-normal distributions
• Chapter 4: Univariate mixtures of SMSN distributions
• Chapter 5: Multivariate mixtures of SMSN distributions
• Chapter 6: Mixture of Regression Models.