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estimation of parameters of kumaraswamy distribution from progressively type-i interval censored data using em algorithm
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نویسنده
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ahmadi .m.v
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منبع
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نهمين سمينار تخصصي نظريه قابليت اعتماد و كاربردهاي آن - 1402 - دوره : 9 - نهمین سمینار تخصصی نظریه قابلیت اعتماد و کاربردهای آن - کد همایش: 02230-88776 - صفحه:0 -0
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چکیده
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Em algorithm is used to derive the maximum likelihood estimates of unknown parameters when the gathered data are progressively type-i interval censored. it is assumed that the lifetimes follow a kumaraswamy distribution. finally, a simulated data set is analyzed for demonstrative purposes.
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کلیدواژه
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em algorithm ,kumaraswamy distribution ,maximum likelihood estimate ,progressive type-i interval censoring scheme
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آدرس
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, iran
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پست الکترونیکی
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mv.ahmadi@ub.ac.ir
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Authors
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