Estimation of the scale parameter of a log-logistic distribution

DOI10.1007/s00184-012-0397-5zbMath1416.62112OpenAlexW2056753861MaRDI QIDQ361882

P. Yageen Thomas, G. Lesitha

Publication date: 19 August 2013

Published in: Metrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00184-012-0397-5

zbMATH Keywords

Fisher informationbest linear unbiased estimatorbivariate log-logistic distributionextreme ranked set samplingmedian ranked set samplingMorgenstern family of distributionsmultistage ranked set sampling

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Order statistics; empirical distribution functions (62G30) Characterization and structure theory of statistical distributions (62E10) Statistical aspects of information-theoretic topics (62B10)

Related Items (9)

Modified best linear unbiased estimator of the shape parameter of log-logistic distribution ⋮ Maximum likelihood estimator of the parameter for a continuous one-parameter exponential family under the optimal ranked set sampling ⋮ Maximum likelihood estimators of the parameters of the log-logistic distribution ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Log-logistic parameters estimation using moving extremes ranked set sampling design ⋮ The global minimum variance unbiased estimator of the parameter for a truncated parameter family under the optimal ranked set sampling ⋮ Concomitants of generalized order statistics from bivariate Cambanis family of distributions under a general setting ⋮ Parameter estimation of Cambanis-type bivariate uniform distribution with Ranked Set Sampling

Cites Work

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• Ranked set sampling. Theory and applications
• Double-ranked set sampling
• Multistage ranked set sampling
• The Graduation of Income Distributions
• On order statistics from thelog-logistic distribution and their properties
• Best linear unbiased estimation of location and scale parameters of the log-logistic distribution
• Sampling properties of estimators of the log-logistic distribution with application to Canadian precipitation data
• Correlation structure in Farlie-Gumbel-Morgenstern distributions
• On Concomitants of Order Statistics from Morgenstern Family

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