SAMPLE REUSE PROCEDURES FOR PREDICTION OF THE UNOBSERVED PORTION OF A PARTIALLY OBSERVED VECTOR
成果类型：
Article
署名作者：
GEISSER, S
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.1093/biomet/68.1.243
发表日期：
1981
页码：
243250
关键词：
摘要：
Predictive sample reuse methods are applied in several ways to the problem of supplying values for the unobserved portion of a vector when N other similar but fully observed vectors are in hand. One method is to use a mixing matrix to to combine 2 independently calculated vector predictors into a single predictor. The other is to use regression techniques with varying constraints on the regression matrix. The methods are applied to 2 data sets [height of boys and weight gain in rats] and for 1 of them compared with previous prediction analyses.