Document Type

Journal Article

Department/Unit

Department of Mathematics

Language

English

Abstract

Using Ripley's K-function in testing spatial randomness, Koen's estimated critical values deviated notably from Ripley's approximation formula; the former, however, came from an incorrect algorithm. This paper reports new estimates, which agree very well with Ripley's approximation and recommends that the approximation formula can be used instead of Monte-Carlo tests.

Keywords

Complete spatial randomness, Spatial point patterns

Publication Date

12-31-2006

Source Publication Title

Journal of Statistical Computation and Simulation

Volume

11

Issue

77

Start Page

1001

End Page

1004

Publisher

Taylor & Francis

Peer Reviewed

1

Copyright

This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Statistical Computation and Simulation in November 2007, available online: http://dx.doi.org/10.1080/10629360600989147.

Funder

This research was partially supported by grants from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project Numbers HKBU2048/02P and HKBU200503) and an FRG grant of the Hong Kong Baptist University.

DOI

10.1080/10629360600989147

Link to Publisher's Edition

http://dx.doi.org/10.1080/10629360600989147

ISSN (print)

00949655

ISSN (electronic)

15635163

Included in

Mathematics Commons

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