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BAYESIAN VARIABLE SAMPLING PLAN FOR THE WEIBULL DISTRIBUTIONWITH TYPE Ⅰ CENSORING
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作者 陈建伟 林埜 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 1999年第3期269-280,共12页
In this article, we study a model of a single variable sampling plan with Type I censoring.Assume that the quality of an item in a batch is measured by a random variable which follows aWeibull distribution W(λ,m), wi... In this article, we study a model of a single variable sampling plan with Type I censoring.Assume that the quality of an item in a batch is measured by a random variable which follows aWeibull distribution W(λ,m), with scale parameter A and shape parameter m having a gammadiscrete prior distribution or θ=1/λ and m having an inverse gamma-uniform prior distribution.The decision function is based on the Kaplan-Meter estimator. Then, the explicit expressions ofthe Bayes risk are derived. In addition, an algorithm is suggested so that an optimal samplingplan can be determined approximately after a finite number of searching steps. 展开更多
关键词 Single sampling plan the weibull distribution the Kaplan-Meier estimator the Bayes risk
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Application of MEP Method to the Study of statistical Properties of Random Waves 被引量:1
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作者 XU Fumin Ph. D., College of Harbor Waterway and Coastal Engineering, Hohai University, Nanjing 210098, P. R. China. 《China Ocean Engineering》 SCIE EI 1999年第1期21-30,共10页
The maximum entropy principle (MEP) method and the corresponding probability evaluation method are introduced, and the maximum entropy probability distribution expression is deduced in moment of the second order. Full... The maximum entropy principle (MEP) method and the corresponding probability evaluation method are introduced, and the maximum entropy probability distribution expression is deduced in moment of the second order. Fully developed wave height distribution in deep water and wave height and period distribution for different depths in wind wave channel experiment are obtained from the MEP method, and the results are compared with the distribution and the experimental histogram. The wave height and period distribution for the Lianyungang port is also obtained by the MEP method, and the results are compared with the Weibull distribution and the field histogram. 展开更多
关键词 maximum entropy principle wave height and period distribution the weibull distribution the distribution
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Stage Predictions of Landslide and Subsidence from an Once-Through Cycle
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作者 Yan TongzhenDepartment of Hydrogeology and Engineering Geology, China University of Geosciences, Wuhan 430074 《Journal of Earth Science》 SCIE CAS CSCD 1990年第1期77-86,共10页
In this paper both processes of landslide and subsidence are considered to be limited systems. Each of these systems in nature might be regarded as an organism. Generally their lifespan must develop with common ecolog... In this paper both processes of landslide and subsidence are considered to be limited systems. Each of these systems in nature might be regarded as an organism. Generally their lifespan must develop with common ecological characteristics, including several evolutional stages, such as initiation, growth, maturation, decline and death. Among these stages, maturation is emphasized so as to find the occurring or thriving date of both systems. An once-through cycle of both landslide and subsidence is established and is accurately predicted by a developed, mathematic model of the Poisson cycle. The Weibull distribution is cited for a landslide example. Both fundamentals are discussed. Stage predictions of landslide and subsidence are performed for several examples. Back analysis of landslides that have already happened are studied with the same model. And when compared with results from the biological mathematic model and with practical results, it is found that they correspond. Stage prediction of subsidences is also researched by the principle of the Poisson cycle. 展开更多
关键词 limited system LANDSLIDE SUBSIDENCE stage predictions of an once-through cycle the Poisson cycle the weibull distribution back analysis/future analysis.
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