Approximating an unknown distribution when distribution information is extremely limited

DOI10.1080/03610919808813492zbMath0929.62017OpenAlexW2063361127MaRDI QIDQ4232089

Haim Shore

Publication date: 30 January 2000

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610919808813492

zbMATH Keywords

momentsapproximationscensored-datadistribution-fitting

Mathematics Subject Classification ID

Point estimation (62F10) Monte Carlo methods (65C05) Approximations to statistical distributions (nonasymptotic) (62E17)

Related Items (1)

A general solution of the preventive maintenance problem when data are right-censored

Cites Work

• Simple Approximations for the Inverse Cumulative Function, the Density Function and the Loss Integral of the Normal Distribution
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