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Estimation of the Mean Measure Density of a Discrete Random Measure Through Associated Sequences of Observations

 

作者: Dominique Ferrieux,  

 

期刊: Statistics  (Taylor Available online 1999)
卷期: Volume 33, issue 2  

页码: 129-152

 

ISSN:0233-1888

 

年代: 1999

 

DOI:10.1080/02331889908802688

 

出版商: Gordon & Breach Science Publishers

 

关键词: Random measure;kernel estimator;association;mean measure

 

数据来源: Taylor

 

摘要:

To estimate the densityfof the mean measure of a discrete random measureη, the sequence of the observed random measures is usually supposed to be independent. In this paper, that sequence is associated: this definition is a particular case of association of probability measure on a partially ordered Polish space (Lindqvist [18]). The kernel estimator offconverges in probability and almost surely, pointwise and uniformly, under second-order moment conditions onηnand on the sequence (hn) of the window-widths of the estimator.

 

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