A Central Limit Theorem for Spatial Observations

被引：0

作者：

Fazekas, Istvan ^{[1
]}

Karacsony, Zsolt ^{[2
]}

Vas, Renata ^{[1
]}

机构：

[1] Univ Debrecen, Fac Informat, Kassai Ut 26, H-4032 Debrecen, Hungary

[2] Univ Miskolc, Dept Appl Math, H-3515 Miskolc, Hungary

来源：

AUSTRIAN JOURNAL OF STATISTICS | 2012年 / 41卷 / 03期

关键词：

Asymptotic Normality; Central Limit Theorem; Random Field; Nearly Infill;

D O I：

暂无

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：

The Central Limit Theorem is proved for m-dependent random fields. The random field is observed in a sequence of irregular domains. The sequence of domains is increasing and at the same time the locations of the observations become more and more dense in the domains.

引用

页码：227 / 239

页数：13

共 11 条

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