1997•Journal of Quality TechnologyRequires access

Weibull Maximum Likelihood Parameter Estimates with Censored Data

J. Bert Keats, Frederick Lawrence, Fu‐Kwun Wang

Open publisher page 37 citations

Abstract

We present a FORTRAN program for point and interval maximum likelihood parameter estimation for the two-parameter Weibull distribution for multiply-censored data, singly-censored data with Type I or Type II censoring, and complete data. The program may be used for the three-parameter Weibull if the threshold parameter is estimated separately. Examples are presented for the three censoring cases.

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What this paper is about

We present a FORTRAN program for point and interval maximum likelihood parameter estimation for the two-parameter Weibull distribution for multiply-censored data, singly-censored data with Type I or Type II censoring, and complete data. The program may be used for the three-parameter Weibull if the threshold parameter is estimated separately. Examples are presented for the three censoring cases.

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OpenAlex reports 37 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

We present a FORTRAN program for point and interval maximum likelihood parameter estimation for the two-parameter Weibull distribution for multiply-censored data, singly-censored data with Type I or Type II censoring, and complete data. The program may be used for the three-parameter Weibull if the threshold parameter is estimated separately. Examples are presented for the three censoring cases.

Key concepts: Censoring (clinical trials), Weibull distribution, Statistics, Maximum likelihood, Shape parameter, Mathematics, Point estimation, Estimation theory

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