Liu-Type estimator in gamma regression model based on (r-(k-d)) class estimator

	Liu-Type estimator in gamma regression model based on (r-(k-d)) class estimator
International Journal of Nonlinear Analysis and Applications
مقاله 202، دوره 13، شماره 1، خرداد 2022، صفحه 2455-2465 اصل مقاله (380.63 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22075/ijnaa.2022.5945
نویسندگان
Ahmed Mutlag Algboory^* ¹؛ Zakariya Yahya Algamal^* ²
¹College of Physical Education and Sport Sciences, University of Samarra, Salah Aldeen, Iraq
²Department of Statistics and Informatics, University of Mosul, Iraq
چکیده
It is known that when the multicollinearity exists in the gamma regression model, the variance of maximum likelihood estimator is unstable and high. In this article, a new Liu-type estimator based on (r-(k-d)) class estimator in gamma regression model is proposed. The performance of the proposed estimator is studied and comparisons are done with others. Depending on the simulation and real data results in the sense of mean squared error, the proposed estimator is superior to the other estimators.
کلیدواژه‌ها
Liu-type estimator؛ gamma regression model؛ (r-(k-d)) class estimator, (r -- d) class estimator؛ (r -- k) class estimator؛ (k -- d) class estimator
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