1985IEEE Transactions on ReliabilityRequires access

Robust Estimators of the 3-Parameter Weibull Distribution

Adil Adatia, Lai K. Chan

Open publisher page 9 citations

Abstract

Robust estimators of the location, scale, and shape parameters of the Weibull distribution are proposed. The estimators are easy to calculate and have few of the disadvantages associated with the maximum likelihood estimators. Their rms-errors are considerably smaller than those of the estimators available in the literature.

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What this paper is about

Robust estimators of the location, scale, and shape parameters of the Weibull distribution are proposed. The estimators are easy to calculate and have few of the disadvantages associated with the maximum likelihood estimators. Their rms-errors are considerably smaller than those of the estimators available in the literature.

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Available abstract

Robust estimators of the location, scale, and shape parameters of the Weibull distribution are proposed. The estimators are easy to calculate and have few of the disadvantages associated with the maximum likelihood estimators. Their rms-errors are considerably smaller than those of the estimators available in the literature.

Key concepts: Estimator, Weibull distribution, M-estimator, Statistics, Weibull fading, Extremum estimator, Scale parameter, Maximum likelihood

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