Robust inference for skewed data in health sciences

Health data are often not symmetric to be adequately modeled through the usual normal distributions; most of them exhibit skewed patterns. They can indeed be modeled better through the larger family of skew-normal distributions covering both skewed and symmetric cases. Since outliers are not uncommo...

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Vydáno v:	Journal of applied statistics Ročník 49; číslo 8; s. 2093 - 2123
Hlavní autoři:	Nandy, Amarnath, Basu, Ayanendranath, Ghosh, Abhik
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England Taylor & Francis 11.06.2022
Témata:	Genetic algorithm Influence function robust minimum density power divergence estimation Skew normal (SN) distribution test for symmetry wald-type test robust minimum density power divergence estimation Influence function Skew normal (SN) distribution test for symmetry Genetic algorithm wald-type test
ISSN:	0266-4763, 1360-0532
On-line přístup:	Získat plný text
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