摘要

This article aims to estimate parameters of spatial variability with Student%26apos;s t-distribution by the EM algorithm and present the study of local influence by means of two methods known as likelihood displacement and Q-displacement of likelihood, both using Student%26apos;s t-distribution with fixed degrees of freedom (nu). The results showed that both methods are effective in the identification of influential points.

  • 出版日期2014-11