首页> 外文期刊>Statistics: A Journal of Theoretical and Applied Statistics >Asymptotic properties of an empirical K-function for inhomogeneous spatial point processes
【24h】

Asymptotic properties of an empirical K-function for inhomogeneous spatial point processes

机译:非均匀空间点过程的经验K函数的渐近性质

获取原文
获取原文并翻译 | 示例
       

摘要

The K-function is one of the most commonly used summary statistics. It plays the role for spatial point processes that the covariance function or the variogram plays for continuous observation. The asymptotic properties of the nonparametric estimation of K-function in stationary spatial point processes have been studied. However, in practice, stationary is often not a reasonable assumption. In this article, we investigate the asymptotic behaviour of the nonparametric estimation of K-function for a class of nonstationary processes.
机译:K函数是最常用的汇总统计信息之一。它起着空间点过程的作用,而协方差函数或变异函数则起着连续观察的作用。研究了平稳空间点过程中K函数非参数估计的渐近性质。但是,在实践中,固定通常不是一个合理的假设。在本文中,我们研究了一类非平稳过程的K函数非参数估计的渐近行为。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号