Power function for inverse Gaussian regression models

被引：15

作者：

Woldie, M

Folks, JL

Chandler, JP

机构：

[1] Texas So Univ, Houston, TX 77004 USA

[2] Oklahoma State Univ, Stillwater, OK 74078 USA

[3] Mississippi State Univ, Starkville, MS 39792 USA

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2001年 / 30卷 / 05期

关键词：

regression; zero intercept; nonconstant variance; power function;

D O I：

10.1081/STA-100002257

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：

Inverse Gaussian regression models are useful for data where both the independent and dependent variable are nonnegative and the variance of the dependent variable depends on the independent variable. Zero intercept inverse Gaussian regression models are presented with nonconstant variance, constant ratio of variance to the mean and constant coefficient of variation. The power function for testing hypotheses about the slope is given for all of these models.

引用

页码：787 / 797

页数：11

共 7 条

[1]

Chhikara R. S., 1989, INVERSE GAUSSIAN DIS

[2]

CHHIKARA RS, 1975, COMMUN STAT, V4, P1081, DOI 10.1080/03610927508827317

[3]

Davis A. S., 1977, THESIS OKLAHOMA STAT

[4] LINEAR-REGRESSION THROUGH THE ORIGIN WITH CONSTANT COEFFICIENT OF VARIATION FOR THE INVERSE GAUSSIAN DISTRIBUTION [J].