Technometrics · 1976 · 88 citations · 2 references
EngineeringIndustrial EngineeringStochastic ModelingStochastic ProcessesUncertainty QuantificationMaximum Likelihood EstimationPoisson ProcessesProbabilistic ModelingReliabilityReliability ModelingStatistical InferenceMaximum Likelihood EstimatorProbabilistic Reliability AnalysisProbabilistic Reliability AssessmentProbabilistic Reliability ModelingReliability GrowthReliability Growth ModelingReliability PredictionWeibull Model
The Weibnll Process (non-homogenous Poisson process with Weibldl intensity) is being lued as a model for prodtlction learning cllrves [1] and reliability growth of complex systems [2], [3], [4], aud [5]. The maximum likelihood estimators of the parameters β and μ ( and ) are easily obtained in close form. 2n β/ is known to be x 2. In this note percentage points of are presented. SirIce is independent of β and μ these data allow the estimation of confidence intervals for μ.
2