An Algorithm for Determining the Asymptotically Best Linear Estimate of the Mean from Multiply Censored Logistic Data

DOI10.2307/2286183zbMath0299.62019OpenAlexW4229953021MaRDI QIDQ4054507

Smiley W. Cheng, Lai-Kow Chan

Publication date: 1974

Full work available at URL: https://doi.org/10.2307/2286183

Mathematics Subject Classification ID

Point estimation (62F10) Order statistics; empirical distribution functions (62G30)

Related Items (4)

Approximate maximum likelihood estimation for a generalized logistic distribution ⋮ Linear estimation of the location and scale parameters based on selected order statistics ⋮ Optimal spacing of the selected sample quantiles for the joint estimation of the location and scale parameters of a symmetric distribution ⋮ On calculating the Fisher information in order statistics

This page was built for publication: An Algorithm for Determining the Asymptotically Best Linear Estimate of the Mean from Multiply Censored Logistic Data