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:: Volume 12, Issue 1 (9-2018) ::
J. of Stat. Sci. 2018, 12(1): 97-117 Back to browse issues page
General Progressive Censoring
Mohamad Bayat , Hamzeh Torabi
Abstract:   (1459 Views)

Nowadays, the use of various censorship methods has become widespread in industrial and clinical tests. Type I and Type II progressive censoring are two types of these censors. The use of these censors also has some disadvantages. This article tries to reduce the defects of the type I progressive censoring by making some change to progressive censorship. Considering the number and the time of the withdrawals as a random variable, this is done. First, Type I, Type II progressive censoring and two of their generalizations are introduced. Then, we introduce the new censoring based on the Type I progressive censoring and its probability density function. Also, some of its special cases will be explained and a few related theorems are brought. Finally, the simulation algorithm is brought and for comparison of introduced censorship against the traditional censorships a simulation study was done.

Keywords: General progressive censoring, Censoring vector, Censoring time vector, Likelihood function, Maximum likelihood estimator
Full-Text [PDF 362 kb]   (354 Downloads)    
Type of Study: Applied | Subject: Sampling
Received: 2014/11/22 | Accepted: 2017/06/29 | Published: 2018/04/15
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Bayat M, Torabi H. General Progressive Censoring . J. of Stat. Sci.. 2018; 12 (1) :97-117
URL: http://jss.irstat.ir/article-1-334-en.html


Volume 12, Issue 1 (9-2018) Back to browse issues page
مجله علوم آماری – نشریه علمی پژوهشی انجمن آمار ایران Journal of Statistical Sciences
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