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:: Volume 24, Issue 2 (3-2020) ::
Andishe 2020, 24(2): 25-35 Back to browse issues page
Optimal sample size and censoring scheme in progressively type II censoring based on Fisher information for the Pareto distribution
Abstract:   (2064 Views)

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 censoring scheme in the progressive type-II censoring has been studied so far by considering different criteria. Another issue in the progressive type-II censoring is choosing the sample size at the start of the experiment, namely $n$. In this paper, assuming the Pareto distribution for the data, we will determine the optimal sample size, $n_ {opt}$, as well as the optimal censoring scheme by means of the Fisher Information. Finally, to evaluate the results, numerical calculations have been presented by using $R$ software.

Keywords: Fisher information, Pareto distribution, Optimal censoring scheme.
Full-Text [PDF 295 kb]   (804 Downloads)    
Type of Study: Research | Subject: Special
Received: 2019/07/21 | Accepted: 2020/05/21 | Published: 2020/06/6
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Optimal sample size and censoring scheme in progressively type II censoring based on Fisher information for the Pareto distribution. Andishe 2020; 24 (2) :25-35
URL: http://andisheyeamari.irstat.ir/article-1-808-en.html


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Volume 24, Issue 2 (3-2020) Back to browse issues page
مجله اندیشه آماری Andishe _ye Amari
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