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November 1, 1965Technometrics238 citations

Maximum Likelihood Estimation in the Weibull Distribution Based on Complete and on Censored Samples

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ACArthur Cohen

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Abstract

This paper is concerned with the two-parameter Weibull distribution which is widely employed as a model in life testing. Maximum likelihood equations are derived for estimating the distribution parameters from (i) complete samples, (ii) singly censored samples and (iii) progressively (multiple) censored samples. Asymptotic variance-covariance matrices are given for each of these sample types. An illustrative example is included.

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Arthur Cohen (1965) studied this question.

synapsesocial.com/papers/6a20ace94a00abbd10d111e7https://doi.org/10.2307/1266397
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