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On bivariate Poisson regression models
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نویسنده
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almuhayfith f.e. ,alzaid a.a. ,omair m.a.
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منبع
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journal of king saud university - science - 2016 - دوره : 28 - شماره : 2 - صفحه:178 -189
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چکیده
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In this paper,we consider estimating the parameters of bivariate and zero-inflated bivariate poisson regression models using the conditional method. this method is compared with the standard method,which uses the joint probability function. simulations and real applications show that the two methods have almost identical akaike information criteria and parameter estimates,but the conditional method has a much faster execution time than the joint method. we conducted our computations using the r and sas package. our results also indicate that the execution time of sas is faster than that of r. © 2015 the authors.
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کلیدواژه
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Bivariate Poisson distribution; Conditional modeling; Correlated count data; Regression models; Zero-inflated models
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آدرس
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department of mathematics and statistics,king faisal university, Saudi Arabia, department of statistics and operations research,king saud university, Saudi Arabia, department of statistics and operations research,king saud university, Saudi Arabia
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Authors
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