Showing 1 - 10 of 205
In this paper, we investigate the estimation problem concerning a progressively type-II censored sample from the two-parameter bathtub-shaped lifetime distribution. We use the maximum likelihood method to obtain the point estimators of the parameters. We also provide a method for constructing an...
Persistent link: https://www.econbiz.de/10005458448
In this paper, we present a Bayesian analysis for the Weibull proportional hazard (PH) model used in step-stress accelerated life testings. The key mathematical and graphical difference between the Weibull cumulative exposure (CE) model and the PH model is illustrated. Compared with the CE...
Persistent link: https://www.econbiz.de/10010848037
This article is aimed at the investigation of some properties of the Weibull cumulative exposure model on multiple-step step-stress accelerated life test data. Although the model includes a probabilistic idea of Miner's rule in order to express the effect of cumulative damage in fatigue, our...
Persistent link: https://www.econbiz.de/10005639702
Persistent link: https://www.econbiz.de/10009390915
Record data are commonly seen in everyday life, e.g., concentration of emerging contaminants in environmental studies. Based on record data, this study investigates point estimation and confidence intervals estimation for the Weibull distribution. The uniformly minimum variance unbiased...
Persistent link: https://www.econbiz.de/10011117707
Persistent link: https://www.econbiz.de/10005760198
Abstract The concept of sequential order statistics were introduced by Kamps in 1995. In this article, we derive an acceptance sampling plan, for units having exponentially distributed lifetime, using sequential order statistics. Based on data obtained from progressive type II censoring using...
Persistent link: https://www.econbiz.de/10014591040
Persistent link: https://www.econbiz.de/10012256636
In this paper, we consider the prediction problem in two-sample case and study the non-parametric predicting future progressively Type-II censored order statistics based on observed <InlineEquation ID="IEq3"> <EquationSource Format="TEX">$$k$$</EquationSource> <EquationSource Format="MATHML"> <math xmlns:xlink="http://www.w3.org/1999/xlink"> <mi>k</mi> </math> </EquationSource> </InlineEquation>-records from the same distribution. Also, prediction intervals for progressively Type-II censored...</equationsource></equationsource></inlineequation>
Persistent link: https://www.econbiz.de/10010998512
Persistent link: https://www.econbiz.de/10014383811