Journal of Statistical Computation and Simulation · 1979 · 98 citations · 13 references
BusinessMathematicsStatistical ModelingStatisticsStochastic ModelingEstimation TheoryInferential StatisticsMaximum Likelihood EstimationMonte Carlo SimulationParameter EstimationProbabilistic ModelingEstimation EquationsIterative ImprovementPercentile EstimationProbability Density Function EstimationShapeWeibull Model
Analytic estimates of the three Weibull parameters are important to the practitioners for their simplicity and to the analyst as starting points of iterative procedures for obtaining better estimates, e.g. MLE. This paper examines more than seventeen simple Weibull estimators. Their accuracy (in a MSE sense) is evaluated on a set of randomly generated three-parameter Weibull problems. The most accurate (simple percentile) estimator is identified for the location, the scale and the shape parameter.
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A pseudo-random number generator for the System/360
Peter Lewis, A. S. Goodman, J. M. Miller · IBM Systems Journal · 1969 · 373 citations
Some Percentile Estimators for Weibull Parameters
Satya D. Dubey · Technometrics · 1967 · 166 citations