Finite Mixture of Skewed Distributions

Victor Hugo Lachos Dávila is Professor in the Department of Statistics at the University of Connecticut, USA. His research interests are in the areas of asymmetric-elliptical distributions, mixed effects models, stochastic volatility models, finite mixture of distributions, spatial statistics and augmented models. In 2008, he won the Inter-American Statistical Institute Award for Excellence and, in 2012, he was distinguished with the "Zeferino Vaz Award" from the University of Campinas, Brazil. He has authored over 100 papers in several peer-reviewed journals. Celso Rômulo Barbosa Cabral is a Professor at the Federal University of Amazonas, Brazil, where he graduated in Statistics (1987). He received his Master's degree from the National Association of Pure and Applied Mathematics, IMPA, Brazil (1991) and his PhD (2000) in Statistics from the University of São Paulo, Brazil. His research focuses mainly on asymmetric distributions, measurement error models and finite mixtures of distributions. Camila Borelli Zeller is a Professor at the Federal University of Juiz de Fora, Brazil. She holds a Master's degree (2006) and a PhD (2009) in Statistics, from the University of Campinas, Brazil. The main focus of her research is asymmetric distributions, linear models and finite mixtures of distributions.

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.

"The monograph is well written ... and will be very useful to researchers using finite mixture models as it discusses contemporary methods used in such modelling." (Ravi Sreenivasan, zbMATH 1428.62006, 2020)

“The monograph is well written … and will be very useful to researchers using finite mixture models as it discusses contemporary methods used in such modelling.” (Ravi Sreenivasan, zbMATH 1428.62006, 2020)