[Home ] [Archive]    
:: Volume 9, Issue 2 (3-2013) ::
JSRI 2013, 9(2): 115-131 Back to browse issues page
A Cumulative Residual Entropy Characterization of the Rayleigh Distribution and Related Goodness-of-Fit Test
S. Baratpour *1, F. Khodadadi
1- , baratpour@um.ac.ir
Abstract:   (3932 Views)

Rayleigh distribution is widely used for life-time modeling and is important in electro vacuum devices and communication engineering. Rao et al. (2004) suggested the Cumulative Residual Entropy (CRE), which is the extension of the Shannon entropy to the the cumulative distribution function. In this paper, a general class of maximum CRE distributions is introduced and then we characterize the Rayleigh distribution and use it to construct a goodness-of-fit test for ascertaining appropriateness of such model. For constructing the test statistics, we use Cumulative residual Kullback-Leibler information (CKL) that was introduced by Baratpour and Habibi (2012). Critical values for various sample sizes determined by means of Monte Carlo simulations are presented for the test statistics. A Monte Carlo power analysis is performed for various alternatives and sample sizes in order to compare the proposed test with several existing goodness-of-fit tests based on the empirical distribution. We find that the proposed test has good power properties. The use of the proposed test is shown in an illustrative example.

Keywords: Cumulative residual entropy, maximum entropy, Kullback-Leibler divergence, Rayleigh distribution, goodness of fit, power study
Full-Text [PDF 202 kb]   (2569 Downloads)    
Type of Study: Research | Subject: General
Received: 2016/08/16 | Accepted: 2016/08/16 | Published: 2016/08/16
Send email to the article author

Add your comments about this article
Your username or Email:


XML   Persian Abstract   Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Baratpour S, Khodadadi F. A Cumulative Residual Entropy Characterization of the Rayleigh Distribution and Related Goodness-of-Fit Test. JSRI 2013; 9 (2) :115-131
URL: http://jsri.srtc.ac.ir/article-1-203-en.html

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 9, Issue 2 (3-2013) Back to browse issues page
مجله‌ی پژوهش‌های آماری ایران Journal of Statistical Research of Iran JSRI
Persian site map - English site map - Created in 0.05 seconds with 29 queries by YEKTAWEB 4533