An extension to modeling cylindrical variables

被引：7

作者：

AndersonCook, CM ^{[1
]}

机构：

[1] VIRGINIA TECH,DEPT STAT,BLACKSBURG,VA 24061

来源：

STATISTICS & PROBABILITY LETTERS | 1997年 / 35卷 / 03期

关键词：

directional data; bivariate response; circular data; C- and C-linear association;

D O I：

10.1016/S0167-7152(97)00016-3

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：

An extension to the model by Mardia and Sutton (1978) for describing a more general type of circular-linear association, C-association, is proposed. Estimation techniques to optimize the parameter estimates for a data set and a likelihood ratio test to determine if the new model provides a significantly better fit over the C-linear association model are discussed. Two numerical examples are given to motivate and illustrate the methods. (C) 1997 Elsevier Science B.V.

引用

页码：215 / 223

页数：9