Linear Estimation and Tests of Quantiles of Logistic Distribution Based on Selected Order Statistics

DOI10.1080/02522667.1988.10698944zbMath0665.62032OpenAlexW2322111496MaRDI QIDQ3816836

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Publication date: 1988

Published in: Journal of Information and Optimization Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02522667.1988.10698944

zbMATH Keywords

order statisticslogistic distributionmaximum likelihood estimatorslocation-scale familyAREoptimum spacingsAsymptotically best linear unbiased estimateshypotheses on quantiles

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Nonparametric hypothesis testing (62G10) Parametric tolerance and confidence regions (62F25) Parametric hypothesis testing (62F03) Nonparametric estimation (62G05) Statistical tables (62Q05)

Cites Work

• Unnamed Item
• Estimating the quantile function of a location-scale family of distributions based on few selected order statistics
• Estimating quantiles using optimally selected order statistics
• Large-sample quantile estimation in pareto laws
• Linear estimation of the parameters of the logistic distribution by selected order statistics for very large samples
• Estimation of the parameters of the logistic distribution
• On Some Useful "Inefficient" Statistics

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