IEEE Transactions on Reliability · 1992 · 19 citations · 24 references
EngineeringChange Impact AnalysisDispersion Frame TechniqueSoftware EngineeringSystem ReliabilityChange AnalysisStatistical AnalysisReliability EngineeringData ScienceUncertainty QuantificationManagementBiostatisticsReliability ModelingLog ManagementTraditional Statistical MethodsError Log AnalysisStatisticsHeuristic Trend AnalysisStatistical ModelingReliability AnalysisReliabilityReliability PredictionLog AnalysisReliability ModellingSoftware TestingTrend AnalysisToo-traditional Statistical MethodsData Modeling
The above-titled paper by T.-T.Y. Lin and D.P. Siewiorek (see ibid., vol.39, p.419-32, Oct. 1990) used traditional statistical analysis to demonstrate the superiority of the proposed dispersion frame technique. The purpose was to distinguish between transient and intermittent errors and predict the occurrence of intermittent errors. It is shown here that those traditional statistical methods were too traditional, since they involved fitting a distribution to data which were not identically distributed. Appropriate statistical techniques for fitting models to such nonstationary data are briefly discussed, and reasons are proffered for the persistence of too-traditional statistical methods in the reliability literature.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Introduction to Stochastic Processes
Dennis B. Gillings, Paul G. Hoel, Sidney C. Port et al. · Technometrics · 1974 · 727 citations
Shock Models and Wear Processes
J. D. Esary, Albert W. Marshall · The Annals of Probability · 1973 · 631 citations · Full text