By taking the maximum of the Q function as the optimization goal and the rough limits of each parameter as the constraints, a parameter estimation model of the mixture Weibull distribution is built. The PSO algorithm has been introduced into the maximization step of the EM algorithm to deal ...
nodejsjavascriptdistributionnodestatisticsextremestdliblocationmeanexpectationstatsavgnode-jscontinuousaverageinversedistcenterweibullfrechet UpdatedApr 18, 2025 Python python spec framework functionalspecexpectationmatcher UpdatedJul 22, 2017 Python This repository is created to provide suggestions for solving mathemati...
摘要: Many Aspects of Anticipation 关键词: Bernoulli pmf binomial distribution expectation geometric distribution independent random variables log-logistic distribution moments Poisson pmf transform methods Weibull distribution 出版时间: 2016/08/26 收藏 引用 批量引用 报错 分享 全部来源 免费下载 求助全文 ...
In this paper, the quasi-moment estimators of the parameters are proposed based on the zero-failure data in Weibull distribution according to the concept "mean residual lifetime". 本文对Weibull分布场合下的无失效数据(ti,ni),根据“平均剩余寿命”这一概念得到了参数的拟矩估计,进而将其转化至有一个...
In practical engineering, there are many factors affecting the fatigue life of actual components, and a single Weibull distribution is insufficient to accurately describe the impact of various factors on fatigue life . In order to solve the above problems, 316L stainless steel is taken as the ...
Statistical models are good alternatives to achieve accurate forecasts, but they require assumptions on the statistical distribution of EWS in parametric frameworks. This paper proposes an Inverse Burr - Inverse Weibull finite mixture distribution for EWS characterization and its Expectation-Maximization (EM...
Weibull distributionThe variable-entered Karnaugh map (VEKM) is shown to be the natural map for representing and manipulating general 'big' Boolean functions that are not restricted to the switching or two-valued case. The VEKM is utilized herein in producing a compact general solution of a ...
Parameter estimation of the modified Weibull distribution using Monte Carlo Expectation Maximization algorithmIn the present article, the modified Weibull distrdoi:10.3233/mas-150361Santosh S. SutarIOS PressModel assisted statistics and applications
expectationgeometric distributionindependent random variableslog-logistic distributionmomentsPoisson pmftransform methodsWeibull distributionMany Aspects of AnticipationMichael A. ProschanNational Heart, Lung, and Blood Institute, Bethesda, MD, USAJohn Wiley & Sons, Ltd...
Due to the flexibility of the Weibull distribution and the proportional hazard (PH) model, Weibull PH is widely used in survival analysis under right censored data and interval censored data but it is seldom investigated under current status data, partially because there is less information in ...