A Square Root Method of Selecting a Minimum Set of Variables in Multiple Regression: I. The Method  

Oleh:

Summerfield, A. ; Lubin, A.

Jenis: Article from Journal - e-Journal
Dalam koleksi: Psychometrika: A Journal of Quantitative Psychology vol. 16 no. 3 (Sep. 1951), page 271-284.
Topik: Square Root Method; F Ratio Criterion; Test Selection
Fulltext: A Square Root Method of Selecting a Minimum Set of Variables in Multiple Regression I. The Method.pdf (641.06KB)

Isi artikel

An extension of Dwyer's “square root” method has been made to the problem of selecting a minimum set of variables in a multiple regression problem. The square root method of selection differs from the Wherry-Doolittle method primarily in that (1) the computations required are more compact, (2) anF ratio criterion is used which leads to the selection of fewer variables. The method provides solutions for the problems of test selection, item analysis, analysis of variance with disproportionate frequencies, and other problems requiring the rejection of superfluous variables. In a subsequent article a worked example will be given, and the square root and Wherry-Doolittle methods compared.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali