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Hypothesis Testing in Weighted Distributions
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نویسنده
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Alavi S. M. R. ,Chinipardaz R. ,Rasekh A. R.
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منبع
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journal of mathematical extension - 2008 - دوره : 3 - شماره : 1 - صفحه:55 -69
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چکیده
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There are many situations in which experiments arenot available or data are recorded from the population propor-tion to a nonnegative function called weight function. in a suchsituations the classical methods for inferencing about unknownparameters are not useful. in this study the problem of statisti-cal hypothesis testing is considered for weighted distributions toobtain (uniformly) most powerful tests.
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کلیدواژه
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Monotone likelihood ratio ,NeymanPearson lemma ,weighted distributions ,UMPU tests ,Monte Carlosimulation.
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آدرس
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shahid chamran university of ahvaz, Department of Statistics, ایران, shahid chamran university of ahvaz, Department of Statistics, ایران, shahid chamran university of ahvaz, Department of Statistics, ایران
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پست الکترونیکی
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rasekh¡a@scu.ac.ir
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Authors
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