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Methods for estimating the parameters of the power function distribution
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نویسنده
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zaka a. ,akhter a.s.
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منبع
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pakistan journal of statistics and operation research - 2013 - دوره : 9 - شماره : 2 - صفحه:213 -224
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چکیده
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In this paper,we present some methods for estimating the parameters of the two parameter power function distribution. we use the least squares method (l.s.m),relative least squares method (r.l.s.m) and ridge regression method (r.r.m). sampling behavior of the estimates is indicated by a monte carlo simulation. we use total deviation (t.d) and mean square error (m.s.e) to identify the best estimator among them. we determine the best method of estimation using different values for the parameters and different sample size.
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کلیدواژه
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Least squares method; Mean square error; Monte carlo study; Parameter estimation; Power function distributions; Relative least squares; Ridge regression; Total deviation
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آدرس
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college of statistical and actuarial sciences,university of the punjab, Pakistan, college of statistical and actuarial sciences,university of the punjab, Pakistan
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Authors
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