A new method for adding two parameters to a family of distributions with application to the normal and exponential families

DOI10.1007/s10260-014-0265-8zbMath1327.62076OpenAlexW1980787054MaRDI QIDQ893008

H. M. Barakat

Publication date: 13 November 2015

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10260-014-0265-8

zbMATH Keywords

kurtosisskewnessparametric familyskew normal distributionmixture distributionssymmetric exponential distribution

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Parametric inference (62F99) Characterization and structure theory of statistical distributions (62E10)

Related Items (4)

On some generalized families arising from mixture normal distribution with applications ⋮ Toward the establishment of a family of distributions that may fit any dataset ⋮ Gram-Charlier-like expansions of the convoluted hyperbolic-secant density ⋮ Predicting future lifetime for mixture exponential distribution

Cites Work

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• Families of distributions arising from distributions of order statistics
• Asymptotic distributions of order statistics and record values arising from the class of beta-generated distributions
• Asymptotic Distributions of Order Statistics and Record Values Under the Marshall–Olkin Parametrization Operation
• Estimating Mixtures of Normal Distributions and Switching Regressions
• A new method for adding a parameter to a family of distributions with application to the exponential and Weibull families
• BETA-NORMAL DISTRIBUTION AND ITS APPLICATIONS
• A Constructive Representation of Univariate Skewed Distributions

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