OPTIMAL SELECTION OF MATCHED PAIRS FROM LARGE DATA BASES
作者:
A. M. Sibley,
E. Earl Burch,
期刊:
Decision Sciences
(WILEY Available online 1979)
卷期:
Volume 10,
issue 1
页码: 62-70
ISSN:0011-7315
年代: 1979
DOI:10.1111/j.1540-5915.1979.tb00007.x
出版商: Blackwell Publishing Ltd
数据来源: WILEY
摘要:
ABSTRACTThis paper considers the problem of selecting matched pairs of observations for the reduction of bias in statistical hypothesis testing. A Euclidean distance function is suggested for measuring the similarity between paired observations. The matching process is then formulated initially as an assignment problem. Alternative formulations of the problem that would reduce computational difficulty are considered.
点击下载:
PDF
(382KB)
返 回