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发表于 2025-3-21 22:19:13
Springer Texts in Statisticshttp://image.papertrans.cn/i/image/474131.jpg
行乞
发表于 2025-3-22 03:00:53
Estimation of Life Distributions and System Characteristics,stem as a function of the reliabilities of its components. In Chapter 5 we touched upon some problems of estimating some interesting parameters of life distributions. The estimation methods discussed there are based on graphical analysis of probability plots. These methods, though often coarse and imprecise, do provide quick estimates.
Cardiac-Output
发表于 2025-3-22 05:10:00
Maximum Likelihood Estimators and Confidence Intervals for Specific Life Distributions,.3 and 2.5. All these estimators relate to complete sample data on time till failure. The required adjustments for censored data were discussed in Section 6.4. We also include (whenever available) formulae for the exact confidence limits for the parameters. Formulae for the asymptotic confidence limits are given for all cases.
garrulous
发表于 2025-3-22 11:31:48
Bayesian Reliability Estimation and Prediction,It is often the case that some information is available on the parameters of the life distributions from prior experiments or prior analysis of failure data. The Bayesian approach provides the methodology for formal incorporation of prior information with the current data.
Fluctuate
发表于 2025-3-22 13:57:48
978-1-4612-7697-5Springer-Verlag New York, Inc. 1992
杀死
发表于 2025-3-22 20:33:45
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graphy
发表于 2025-3-22 22:26:52
1431-875X resents an introduction to reliability analysis of repairable and non-repairable systems. It is based on courses given to both undergraduate and graduate students of engineering and statistics as well as in workshops for professional engineers and scientists. As aresult, the book concentrates on the
Barter
发表于 2025-3-23 04:12:50
Life Distributions, Models and Their Characteristics,arises when the units are observed only at discrete time points . ., . ., ···. The number of failures among the . tested units is recorded for each inter-inspection time interval. Let . ., . ., ···, denote the number of units failing in the time intervals [0, t.), [. ., . .), ···. These are . random variables representing failure counts.
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