Comment: Statistical Dependence in Stream Networks
成果类型：
Editorial Material
署名作者：
Cressie, Noel; O'Donnell, David
署名单位：
University System of Ohio; Ohio State University; University of Glasgow
刊物名称：
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
ISSN/ISSBN：
0162-1459
DOI：
10.1198/jasa.2009.ap09530
发表日期：
2010
页码：
18-21
关键词：
摘要：
This note is based on an invited discussion of the article, A Moving Average Approach for Spatial Statistical Models on Stream Networks by Jay M Ver Hoef and Erin E Peterson Ver Hod and Peterson (hereafter VHP) have extended the idea of flow-related statistical dependence in streams to one where dependence may not respect flow. such as might happen when modeling data on fish in connected streams We congratulate VHP for their innovative paper on using moving average models in stream networks