Selection of the Best Subset in Regression Analysis
β Scribed by Hocking, R. R.; Leslie, R. N.
- Book ID
- 120060980
- Publisher
- American Statistical Association
- Year
- 1967
- Tongue
- English
- Weight
- 692 KB
- Volume
- 9
- Category
- Article
- ISSN
- 0040-1706
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## Abstract A generalized goal using subset selection is discussed for the location parameter case. This goal is to select a nonβempty subset from a set of __k__ (__k__ β₯ 2) treatments that contains at least one Ξ΅βbest treatment with confidence level __P__\*. For a set of treatments an Ξ΅βbest treat
Anomalies are cited in the use of subset regression diagnostics. Two leverage diagnostics are uniΓΏed through canonical leverages. Other diagnostics relate one-to-one with the R-Fisher statistic, supporting exact but equivalent tests at level . Three distance diagnostics exhibit ad hoc scalings; thei