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- W1547557324 abstract "This chapter introduces life distribution models and discusses methods useful for analyzing failure data especially incomplete data. The method of how to express the likelihood functions for general distributions and incomplete data is shown. The likelihood function tends to be fairly fiat for incomplete data. For this reason the maximum likelihood estimator may be of limited value. It is therefore especially important in this situation to assess a prior distribution for parameters and plot the posterior distribution or its contours. Inference based on the exponential model is discussed for general sampling plans. Parameter estimators and credibility intervals are derived for special cases. The Weibull distribution is a useful model for life distribution studies and also for the analysis of strength data. The chapter describes failure mechanisms leading to a Weibull life distribution model and presents contour plotting methods for analyzing life data based on a Weibull distribution." @default.
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- W1547557324 date "1988-01-01" @default.
- W1547557324 modified "2023-10-16" @default.
- W1547557324 title "13 Life distribution models and incomplete data" @default.
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- W1547557324 doi "https://doi.org/10.1016/s0169-7161(88)07015-4" @default.
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