STATISTICAL INFERENCE FOR A GENERAL CLASS OF NONCENTRAL ELLIPTICAL DISTRIBUTIONS

* In this paper we introduce a new family of noncentral elliptical distributions. This family is generated as the quotient of two independent random variables, one with noncentral standard elliptical distribution and the other the power of a U(0, 1) random variable. For this family of distributions,...

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Published inRevstat Vol. 19; no. 2; p. 161
Main Authors Reyes, Jimmy, Gallardo, Diego I, Vilca, Filidor, Gomez, Hector W
Format Journal Article
LanguageEnglish
Published Instituto Nacional de Estatistica 01.04.2021
Instituto Nacional de Estatística | Statistics Portugal
Subjects
Algorithms
elliptical distribution
EM-algorithm
kurtosis
moments
noncentral slash-elliptical distribution
Chile
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Summary:* In this paper we introduce a new family of noncentral elliptical distributions. This family is generated as the quotient of two independent random variables, one with noncentral standard elliptical distribution and the other the power of a U(0, 1) random variable. For this family of distributions, we derive general properties, including the moments and discuss some special cases based on the family of scale mixtures of normal distributions, where the main advantage is easy simulation and nice hierarchical representation facilitating the implementation of an EM algorithm for maximum likelihood estimation. This new family of distributions provides a robust alternative for parameter estimation in asymmetric distributions. The results and methods are applied to three real datasets, showing that this new distribution fits better than other models reported in the recent statistical literature. Keywords: * noncentral slash-elliptical distribution; elliptical distribution; moments; kurtosis; EM-algorithm. AMS Subject Classification: * 62E10, 62F10.
ISSN:1645-6726
2183-0371
DOI:10.57805/revstat.v19i2.338