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A high entropy procedure for unequal probability sampling
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نویسنده
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ahmad a. ,hanif m.
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منبع
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pakistan journal of statistics - 2016 - دوره : 32 - شماره : 6 - صفحه:409 -423
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چکیده
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In survey sampling we select a random sample according to some specified random fashion. we focused to apply innovative approach of maximum entropy sampling to develop a new easily executable procedure to determine the probability function in unequal probability sampling and it needs no iteration to compute inclusion probabilities of any order. the empirical comparison of this procedure shows that horvitz & thompson (1952) population total estimate has high entropy and lower variance than that of the yates and grundy (1953),brewer (1963) and prabhu and ajgankar (1982) selection procedures. © 2016 pakistan journal of statistics.
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کلیدواژه
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Entropy; First & second (or joint) order probabilities of inclusion; Horvitz & Thompson Population estimate; Probability proportional to size sampling
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آدرس
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national college of business administration and economics,lahore, Pakistan, national college of business administration and economics,lahore, Pakistan
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Authors
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