Testing for no effect in the spatial functional linear regression model

被引:1
|
作者
Bouka, Stephane [1 ]
Bello, Kowir Pambo [2 ]
Nkiet, Guy Martial [1 ]
机构
[1] Univ Sci & Tech Masuku, Dept Math & Informat, Franceville, Gabon
[2] Ecole Normale Super, Libreville, Gabon
关键词
Functional data; Spatial data; Spatial functional linear regression; Testing hypotheses; PREDICTION;
D O I
10.37920/sasj.2024.58.1.1
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
We consider a functional linear regression model with a real -valued response and a functional random variable with its derivative as covariates. We are interested in testing the null hypothesis of no covariates effect using a spatially dependent sample. We propose two test statistics which take into account the proximity between sites and we establish the asymptotic normality of cross covariance operator between both interest variables. From this result, we derive asymptotic distributions of these both statistics. Then, we illustrate our test procedure by means of a simulation study.
引用
收藏
页码:1 / 18
页数:18
相关论文
共 50 条