Estimating the location parameter under skew normal settings: is violating the independence assumption good or bad?

DOI10.1007/S00500-021-05679-4zbMath1498.62052OpenAlexW3134215713WikidataQ114692074 ScholiaQ114692074MaRDI QIDQ2100163

David Trafimow, Khanittha Talordphop, Cong Wang, Tonghui Wang

Publication date: 21 November 2022

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-021-05679-4

zbMATH Keywords

dependent samplesmean square errorlocation parameterskew-normal distributionindependent samples

Mathematics Subject Classification ID

Point estimation (62F10) Sampling theory, sample surveys (62D05)

Related Items (1)

Multivariate skew normal-based stochastic frontier models

Uses Software

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Cites Work

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• Additive properties of skew normal random vectors
• Sampling distributions of skew normal populations associated with closed skew normal distributions
• Asymmetric dependence in the stochastic frontier model using skew normal copula
• Statistical Applications of the Multivariate Skew Normal Distribution
• The multivariate skew-normal distribution
• Necessary sample sizes for specified closeness and confidence of matched data under the skew normal setting
• Introduction to Genetic Algorithms

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