Exponentiated-exponential geometric regression model

被引：6
|
作者：
Famoye, Felix [1 ]
Lee, Carl [1 ]
机构：
[1] Cent Michigan Univ, Dept Math, Mt Pleasant, MI 48859 USA
来源：
JOURNAL OF APPLIED STATISTICS | 2017年 / 44卷 / 16期
关键词：
Count model; under- and over-dispersion; zero-inflation; tests; POISSON REGRESSION; CONTINUOUS DISTRIBUTIONS; RATES;
D O I：
10.1080/02664763.2016.1267117
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
A regression model, based on the exponentiated-exponential geometric distribution, is defined and studied. The regression model can be applied to count data with under-dispersion or over-dispersion. Some forms of its modifications to truncated or inflated data are mentioned. Some tests to discriminate between the regression model and its competitors are discussed. Real numerical data sets are used to illustrate the applications of the regression model.
引用
收藏
页码：2963 / 2977
页数：15
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