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The transmuted geometric-G family of distributions: Theory and applications
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نویسنده
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afify a.z. ,alizadeh m. ,yousof h.m. ,aryal g. ,ahmad m.
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منبع
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pakistan journal of statistics - 2016 - دوره : 32 - شماره : 2 - صفحه:139 -160
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چکیده
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We introduce a new family of continuous distributions called the transmuted geometric-g family which extends the transmuted family pioneered by shaw and buckley (2007). some of its mathematical properties including explicit expressions for the ordinary and incomplete moments,generating function,rényi and shannon entropies,order statistics and probability weighted moments are derived. some special models of the new family are provided. the maximum likelihood method is used for estimating the model parameters. the importance and flexibility of the proposed family are illustrated by two applications to real data sets. © 2016 pakistan journal of statistics.
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کلیدواژه
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Generating function; Maximum likelihood; Order statistic; Probability weighted moments; Transmuted-G class
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آدرس
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department of statistics,mathematics and insurance,benha university, Egypt, department of statistics,faculty of sciences,persian gulf university,bushehr, ایران, department of statistics,mathematics and insurance,benha university, Egypt, department of mathematics,cs and statistics,purdue university,calumet, United States, national college of business administration and economics,lahore, Pakistan
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Authors
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