On multiple constraint skewed models

DOI10.1080/02331880802357914zbMath1278.62044OpenAlexW2073694960MaRDI QIDQ3396488

Barry C. Arnold, Héctor W. Gómez, Hugo S. Salinas

Publication date: 18 September 2009

Published in: Unnamed Author (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10533/133102

zbMATH Keywords

information matrixmaximum likelihoodmultiple constraintsskew normaltwo-piece skew normal

Mathematics Subject Classification ID

Parametric inference under constraints (62F30)

Related Items (13)

On conditional correlations defined by a class of nonlinearly truncated distributions and their applications ⋮ A family of bimodal distributions generated by distributions with positive support ⋮ A doubly skewed normal distribution ⋮ Some new flexible classes of normal distribution for fitting multimodal data ⋮ Flexible families of symmetric and asymmetric distributions based on the two-piece skew normal distribution ⋮ Two-piece power normal distribution ⋮ Multiple constraint and truncated skew models ⋮ Bimodal symmetric-asymmetric power-normal families ⋮ Multivariate log-skewed distributions with normal kernel and their applications ⋮ A new weighted distribution as an extension of the generalized half-normal distribution with applications ⋮ Bimodal skew-symmetric normal distribution ⋮ A new class of weighted bimodal distribution with application to gamma-ray burst duration data ⋮ Nonparametric Mixtures Based on Skew-normal Distributions: An Application to Density Estimation

Cites Work

• Likelihood-based inference with singular information matrix
• Skewed multivariate models related to hidden truncation and/or selective reporting. With discussion and a rejoinder by the authors.
• A New Class of Skew-Normal Distributions
• Inferential Aspects of the Skew Exponential Power Distribution
• Unnamed Item

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