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Comparative study of Bhattacharyya and Kshirsagabounds in Burr XII and Burr III distributionsr

Author:
سمیرا نایبان
,
عبدالحمید رضائی رکن آبادی
,
غلامرضا محتشمی برزادران
,
Samira Nayeban
,
Abdolhamid Rezaei Roknabady
,
Gholam Reza Mohtashami Borzadaran
Year
: 2014
Abstract: A set of families of distributions which might be useful for fitting data was described by Burr (1942). Among them, the families type XII (Burr XII) and type III (Burr III), have gathered special attention in physics, actuarial studies, reliability and applied statistics. Estimating a wide range of functions of their parameters such as reliability, hazard rate and mode, under various conditions, have been done. But, the variances of the estimators are not considered precisely yet. In this paper, we consider two well-known lower bounds for the variance of any unbiased estimator, which are Bhattacharyya and Kshirsagar bounds for the Burr XII and Burr III distributions. In these distributions, the general forms of the Bhattacharyya

and Kshirsagar matrices are obtained. In addition, we evaluate different Bhattacharyya and Kshirsagar bounds for the variance of any unbiased estimator of the reliability, hazard rate, mode and median due to Burr XII and Burr III distributions and conclude that in each case, which bound has higher convergence and is better to use. Also via some figures, we compare the two bounds with bootstrap method in approximating the variance of the unbiased estimator of the reliability, median and mean of the Burr XII distributions.
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/3352496
Keyword(s): Bhattacharyya bound,Bootstrap method,Cramer-Rao bound,Hammersley-Chapman-Robins bound,hazard rate,Kshirsagar bound,reliability function
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    Comparative study of Bhattacharyya and Kshirsagabounds in Burr XII and Burr III distributionsr

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contributor authorسمیرا نایبانen
contributor authorعبدالحمید رضائی رکن آبادیen
contributor authorغلامرضا محتشمی برزادرانen
contributor authorSamira Nayebanfa
contributor authorAbdolhamid Rezaei Roknabadyfa
contributor authorGholam Reza Mohtashami Borzadaranfa
date accessioned2020-06-06T13:22:49Z
date available2020-06-06T13:22:49Z
date issued2014
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/3352496?locale-attribute=en
description abstractA set of families of distributions which might be useful for fitting data was described by Burr (1942). Among them, the families type XII (Burr XII) and type III (Burr III), have gathered special attention in physics, actuarial studies, reliability and applied statistics. Estimating a wide range of functions of their parameters such as reliability, hazard rate and mode, under various conditions, have been done. But, the variances of the estimators are not considered precisely yet. In this paper, we consider two well-known lower bounds for the variance of any unbiased estimator, which are Bhattacharyya and Kshirsagar bounds for the Burr XII and Burr III distributions. In these distributions, the general forms of the Bhattacharyya

and Kshirsagar matrices are obtained. In addition, we evaluate different Bhattacharyya and Kshirsagar bounds for the variance of any unbiased estimator of the reliability, hazard rate, mode and median due to Burr XII and Burr III distributions and conclude that in each case, which bound has higher convergence and is better to use. Also via some figures, we compare the two bounds with bootstrap method in approximating the variance of the unbiased estimator of the reliability, median and mean of the Burr XII distributions.
en
languageEnglish
titleComparative study of Bhattacharyya and Kshirsagabounds in Burr XII and Burr III distributionsren
typeJournal Paper
contenttypeExternal Fulltext
subject keywordsBhattacharyya bounden
subject keywordsBootstrap methoden
subject keywordsCramer-Rao bounden
subject keywordsHammersley-Chapman-Robins bounden
subject keywordshazard rateen
subject keywordsKshirsagar bounden
subject keywordsreliability functionen
journal titleChilean Journal of Statisticsfa
pages103-118
journal volume5
journal issue1
identifier linkhttps://profdoc.um.ac.ir/paper-abstract-1046386.html
identifier articleid1046386
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