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Exponentiality test based on statistical evidence with Type II censored data

نویسنده:
آرزو حبیبی راد
,
وحیده احراری خلف
,
Arezou Habibirad
,
vahideh ahrari
سال
: 2018
چکیده: Goodness of fit procedures have been developed in the literature when the available

samples are censored. In this paper, some criteria based on statistical evidence in the

goodness of fit test are proposed to test exponentiality with Type II censored data.

Finally, we use the Monte Carlo simulations in order to compute the average of statistical

evidence of the proposed criteria for several alternatives under different sample sizes and

with Type II censored data. The use of these methods are shown in an illustrative example.
یو آر آی: http://libsearch.um.ac.ir:80/fum/handle/fum/3398421
کلیدواژه(گان): Goodness of fit test,Statistical evidence,Censored data
کالکشن :
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    Exponentiality test based on statistical evidence with Type II censored data

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contributor authorآرزو حبیبی رادen
contributor authorوحیده احراری خلفen
contributor authorArezou Habibiradfa
contributor authorvahideh ahrarifa
date accessioned2020-06-06T14:28:47Z
date available2020-06-06T14:28:47Z
date copyright8/25/2018
date issued2018
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/3398421?locale-attribute=fa
description abstractGoodness of fit procedures have been developed in the literature when the available

samples are censored. In this paper, some criteria based on statistical evidence in the

goodness of fit test are proposed to test exponentiality with Type II censored data.

Finally, we use the Monte Carlo simulations in order to compute the average of statistical

evidence of the proposed criteria for several alternatives under different sample sizes and

with Type II censored data. The use of these methods are shown in an illustrative example.
en
languageEnglish
titleExponentiality test based on statistical evidence with Type II censored dataen
typeConference Paper
contenttypeExternal Fulltext
subject keywordsGoodness of fit testen
subject keywordsStatistical evidenceen
subject keywordsCensored dataen
identifier linkhttps://profdoc.um.ac.ir/paper-abstract-1069908.html
identifier articleid1069908
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