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Nonparametric inference in multivariate mixtures
We consider mixture models in which the components of data vectors from any given subpopulation are statistically independent, or independent in blocks. We argue that if, under this condition ofExpand
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A General Purpose Approximate Goodness-of-Fit Test for Progressively Type-II Censored Data
We propose a general purpose approximate goodness-of-fit test that covers several families of distributions under progressive Type-II censored data. The test procedure is based on the empiricalExpand
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Goodness-of-fit tests for progressively Type-II censored data from location–scale distributions
In this article, we propose several goodness-of-fit methods for location–scale families of distributions under progressively Type-II censored data. The new tests are based on order statistics andExpand
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Cumulative residual Kullback–Leibler information with the progressively Type-II censored data
We propose an extension of Kullback–Leibler information to the survival function, and generalize it to the censored case. We evaluate its performance as a goodness-of-fit test statistic with theExpand
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Testing exponentiality based on Type-I censored data
The problem of goodness-of-fit for the exponential distribution when the available data are subject to Type-I censoring is discussed here. A test procedure is proposed in this case that exhibits moreExpand
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Discriminating between generalized exponential, geometric extreme exponential and Weibull distributions
Generalized exponential, geometric extreme exponential and Weibull distributions are three non-negative skewed distributions that are suitable for analysing lifetime data. We present diagnostic toolsExpand
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Sodium Nitroprusside Changed The Metabolism of Mesenchymal Stem Cells to An Anaerobic State while Viability and Proliferation Remained Intact
Objective We used sodium nitroprusside (SNP), a nitric oxide (NO) releasing molecule, to understand its effect on viability and proliferation of rat bone marrow mesenchymal stem cells (BM-MSCs).Expand
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Inference for the Geometric Extreme Exponential Distribution under Progressive Type II Censoring
Geometric extreme exponential (GE-exponential) is one of the nonnegative right-skewed distribution that is suitable for analyzing lifetime data. It is well known that the maximum likelihoodExpand
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Survival comparison is one of the main goals and interesting problems in most survival studies such as clinical studies. In this paper, we compare through a Monte Carlo study, several tests forExpand