A class of flexible weighted distributions for modelling and analyzing non-normal data

DOI10.1016/j.jkss.2007.08.004zbMath1298.62081OpenAlexW2081025540MaRDI QIDQ640687

Hea-Jung Kim

Publication date: 19 October 2011

Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jkss.2007.08.004

zbMATH Keywords

classificationweighted distributionnoncentral \(t\)-distributiondoubly truncated distribution

Mathematics Subject Classification ID

Parametric inference under constraints (62F30) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Probability distributions: general theory (60E05) Characterization and structure theory of statistical distributions (62E10)

Related Items (1)

A new weighted distribution as an extension of the generalized half-normal distribution with applications

Cites Work

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• The nontruncated marginal of a truncated bivariate normal distribution
• Skewed multivariate models related to hidden truncation and/or selective reporting. With discussion and a rejoinder by the authors.
• Flexible Class of Skew-Symmetric Distributions
• Approximations to Multivariate Normal Rectangle Probabilities Based on Conditional Expectations
• On a class of two-piece skew-normal distributions
• Two Theorems for Inferences about the Normal Distribution with Applications in Acceptance Sampling
• Locally Efficient Semiparametric Estimators for Generalized Skew-Elliptical Distributions

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