Hostname: page-component-cd9895bd7-fscjk Total loading time: 0 Render date: 2024-12-28T04:31:19.732Z Has data issue: false hasContentIssue false
  • English
  • Français

Estimating parameters of point process models using the L-function

Published online by Cambridge University Press:  01 July 2016

Konrad Sandau
Konrad Sandau*
Affiliation:
Fachhochschule Darmstadt, Germany
Get access Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Papers
Information
Advances in Applied Probability , Volume 30 , Issue 2 , June 1998 , pp. 289 - 290
Copyright
Copyright © Applied Probability Trust 1998 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1] Diggle, P.J., Fiksel, T., Grabarnik, P., Ogata, Y., Stoyan, D. and Tanemura, M. (1994). On parameter estimation for pairwise interaction point processes. Int. Stat. Rev. 62, 99–117.CrossRefGoogle Scholar
[2] Stoyan, D. (1992). Statistical estimation of model parameters of planar Neymann-Scott cluster processes. Metrika 39, 67–74.CrossRefGoogle Scholar
[3] Stoyan, D., Kendall, W.S. and Mecke, J. (1995). Stochastic Geometry and its Applications. 2nd edn. Wiley, Chichester, pp. 159–160.Google Scholar