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:: Volume 10, Issue 1 (8-2016) ::
JSS 2016, 10(1): 67-80 Back to browse issues page
Quantile Dynamic Cumulative Residual Entropy and Characterizations of Uniform, Exponential and Pareto Distributions
Fatemeh Hooti * , Jafar Ahmadi
Abstract:   (11555 Views)

In this paper, the quantile function is recalled and some reliability measures are rewritten in terms of quantile function. Next, quantile based dynamic cumulative residual entropy is obtained and some of its properties are presented. Then, some characterization results of uniform, exponential and Pareto distributions based on quantile based dynamic cumulative entropy are provided. A simple estimator is also proposed and its performance is studied for exponential distribution. Finally discussion and results are presented.

Keywords: Shannon entropy, Dynamic cumulative residual entropy, Quantile function, Reliability measures, Characterization
Full-Text [PDF 498 kb]   (2363 Downloads)    
Type of Study: Research | Subject: Reliability
Received: 2014/04/11 | Accepted: 2015/09/20 | Published: 2016/06/23
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Hooti F, Ahmadi J. Quantile Dynamic Cumulative Residual Entropy and Characterizations of Uniform, Exponential and Pareto Distributions. JSS 2016; 10 (1) :67-80
URL: http://jss.irstat.ir/article-1-284-en.html


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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 10, Issue 1 (8-2016) Back to browse issues page
مجله علوم آماری – نشریه علمی پژوهشی انجمن آمار ایران Journal of Statistical Sciences

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