Estimation of the Mean and Standard Deviation of the Logistic Distribution Based on Multiply Type-II Censored Samples

DOI10.1080/02331889508802516zbMath0863.62016OpenAlexW2084342792MaRDI QIDQ2785887

Shanti S. Gupta, Subrahmanian Panchapakesan, Narayanaswamy Balakrishnan

Publication date: 15 June 1997

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331889508802516

zbMATH Keywords

order statisticsmaximum likelihood estimationMonte Carlo simulationsmeanbiasmean square errorbest linear unbiased estimationstandard deviationapproximate maximum likelihood estimatorslogistic populationlife-time dataasymptotic variances and covariancemultiply type-II censored samples

Mathematics Subject Classification ID

Point estimation (62F10)

Related Items (6)

Limit theorems for the maximum likelihood estimate under general multiply type II censoring ⋮ Estimation for two-parameter weibull distribution and extreme-value distribution under multiply type-II censoring ⋮ Locally Most Powerful Rank Tests for Comparison of Two Failure Rates Based on Multiple Type-II Censored Data ⋮ Bounding maximum likelihood estimates based on incomplete ordered data ⋮ Posterior computations based on sample quantiles: one- and two-parameter exponential cases ⋮ Rank Tests for Two-Sample Problems Based on Multiple Type-II Censored Data

Cites Work

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• On the moments of order statistics from the doubly truncated logistic distribution
• Exact Moments and Percentage Points of the Order Statistics and the Distribution of the Range From the Logistic Distribution
• On the Bivariate Moments of Order Statistics from a Logistic Distribution
• Properties of the Median and Other Order Statistics of Logistic Variates
• Logistic Order Statistics
• Estimation of the parameters of the logistic distribution
• Note on Moments of a Logistic Order Statistics
• Optimum spacing for the asymptotically best linear estimate of the location parameter of the logistic distribution when samples are complete or censored

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