منابع مشابه
Optimization of Random Sample Size in Progressively Type II Censoring based on Cost Criterion
So far censored samples have been studied by many researchers. One of the most important methods of censoring is progressively type II censoring. An interesting issue in the discussion of censoring is determination of the optimal sample size. Various factors are influential in determining the appropriate sample size, the most important of which is the sampling cost criterion. In this paper, ass...
متن کاملOptimal sample size and censoring scheme in progressively type II censoring based on Fisher information for the Pareto distribution
One of the most common censoring methods is the progressive type-II censoring. In this method of censoring, a total of $n$ units are placed on the test, and at the time of failure of each unit, some of the remaining units are randomly removed. This will continue to record $m$ failure times, where $m$ is a pre-determined value, and then the experiment ends. The problem of determining the optimal...
متن کاملTracking Interval for Type II Hybrid Censoring Scheme
The purpose of this paper is to obtain the tracking interval for difference of expected Kullback-Leibler risks of two models under Type II hybrid censoring scheme. This interval helps us to evaluate proposed models in comparison with each other. We drive a statistic which tracks the difference of expected Kullback–Leibler risks between maximum likelihood estimators of the distribution in two diff...
متن کاملStatistical Inference for the Lomax Distribution under Progressively Type-II Censoring with Binomial Removal
This paper considers parameter estimations in Lomax distribution under progressive type-II censoring with random removals, assuming that the number of units removed at each failure time has a binomial distribution. The maximum likelihood estimators (MLEs) are derived using the expectation-maximization (EM) algorithm. The Bayes estimates of the parameters are obtained using both the squared erro...
متن کاملEstimation for the Type-II Extreme Value Distribution Based on Progressive Type-II Censoring
In this paper, we discuss the statistical inference on the unknown parameters and reliability function of type-II extreme value (EVII) distribution when the observed data are progressively type-II censored. By applying EM algorithm, we obtain maximum likelihood estimates (MLEs). We also suggest approximate maximum likelihood estimators (AMLEs), which have explicit expressions. We provide Bayes ...
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ژورنال
عنوان ژورنال: Journal of Modern Applied Statistical Methods
سال: 2009
ISSN: 1538-9472
DOI: 10.22237/jmasm/1257034620