Estimators of distance distributions for spatial patterns

被引：13

作者：

Chiu, SN

Stoyan, D

机构：

[1] Hong Kong Baptist Univ, Dept Math, Kowloon, Peoples R China

[2] TU Bergakad Freiberg, Inst Stochast, D-09596 Freiberg, Germany

来源：

STATISTICA NEERLANDICA | 1998年 / 52卷 / 02期

关键词：

edge corrections; empty space function; point process;

D O I：

10.1111/1467-9574.00080

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：

BADDELEY and GILL (1994, 1996) have introduced an edge-corrected Kaplan-Meier type estimator of the empty space function, which is very important in point process statistics, The present paper suggests a further estimator of this function, which is based on a method used by HANISCH (1984) for unbiased edge-corrected estimation of the nearest neighbour distance distribution function. Moreover, it turns out that the Kaplan-Meier and the new estimator are closely related, since their densities are border method or minus-sampling type estimators.

引用

页码：239 / 246

页数：8

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[2]

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[3]

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[4]

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[10]

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