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on general case of universal hypothesis optimal testing for l ≥ 2 differently distributed for markov chains
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نویسنده
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akbari reza ,navaei leader
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منبع
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journal of statistical modelling: theory and applications - 2022 - دوره : 3 - شماره : 1 - صفحه:51 -60
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چکیده
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In this paper, we study a model of hypotheses testing consisting of two simple homogeneous stationary markov chains with a finite number of states such that having different distributions from l≥ 2 possible transition probabilities. the matrix of all possible pairs of asymptotical interdependence of the error probability exponents for logarithmically asymptotically optimal testing is determined. for this aim, we apply the method of type and large deviation techniques.
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کلیدواژه
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different distribution ,error probability ,markov chains ,reliability ,transition probability
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آدرس
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payame noor university, department of mathematics, iran, payame noor university, department of statistics, iran
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پست الکترونیکی
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l.navaei@pnu.ac.ir
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Authors
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