Results 271 to 280 of about 7,305,411 (311)
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Multiple Comparison for Weibull Parameters
IEEE Transactions on Reliability, 1975Two problems are considered: 1) testing the hypothesis that the shape parameters of k 2-parameter Weibull populations are equal, given a sample of n observations censored (Type II) at r failures, from each population; and 2) Under the assumption of equal shape parameters, the problem of testing the equality of the p-th percentiles. Test statistics (for
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Percentiles of Pooled Estimates of Weibull Parameters
IEEE Transactions on Reliability, 1983In fatigue testing of metals or composite materials under different levels of stress, the underlying distributions are often assumed to be Weibull with a common shape parameter. The problems of estimation and hypothesis tests of the common shape parameter and scale parameters in the Weibull distributions are considered in this paper. The results are: 1)
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Inference of sampling on Weibull parameter estimation
IEEE Transactions on Dielectrics and Electrical Insulation, 1996The data usable to evaluate the confidence bounds for the Weibull parameter estimates is provided in broad range of values, in the cases of the "mean squares", "maximum likelihood" and "generalized maximum likelihood" methods. The way to use these results in practice are described in detail.
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On testimating the weibull shape parameter
Communications in Statistics - Simulation and Computation, 1990A well-known estimator for the shape parameter of a two-parameter Weibull distribution from a failure-censored sample involves a preliminary test of aa null hypothesis concerning the parameter. Efficiency of the resulting testimator varies with the chosen level of significance of the test.
Nimai Kumar Chandra, Arijit Chaudhuri
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Testing the two parameter weibull distribution
Communications in Statistics - Theory and Methods, 1981We investigate the power properties of Tiku’s 1980) goodness-of-fit statistics (defined in terms of the sample spacings) for testing the important Weibull distribution and show that these statistics are, on the whole, more powerful than their prominent competitors.
M.L. Tiku, M. Singh
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Parameter estimation for mixed-Weibull distribution
Annual Reliability and Maintainability Symposium. 1998 Proceedings. International Symposium on Product Quality and Integrity, 2002In reliability engineering, it is known that electrical and mechanical equipment usually have more than one failure mode or cause. The mixed Weibull distribution is an appropriate distribution to use in modeling the lifetimes of the units that have more than one failure cause.
D.B. Kececioglu, null Wendai Wang
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Parameter Estimations of Inverse Weibull Distribution
Advanced Materials Research, 2011under entropy loss function, the E-Bayes estimation and empirical bayes estimation to the parameter of inverse Weibull distribution used conjugate prior are discussed. And we prove the empirical bayes estimation is asymptotically optimal. At last, the MSE of the estimations are compared based on Monte Carlo simulation study.
Wei An Yan +3 more
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Environmental science and pollution research international, 2022
H. Patidar +3 more
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H. Patidar +3 more
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Some Percentile Estimators for Weibull Parameters
Technometrics, 1967A percentile estimator for the shape parameter of the Weibull distribution, based on the 17th and 97th sample percentiles, is proposed which is asymptotically about 66% efficient when compared with the MLE (maximum likelihood estimator). A two-observation percentile estimator, based on the 40th and 82nd sample percentiles, for the scale parameter when ...
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