The Relation Between Information and Variance Analyses  

Oleh:

Garner, W. R. ; McGill, William J.

Jenis: Article from Journal - e-Journal
Dalam koleksi: Psychometrika: A Journal of Quantitative Psychology vol. 21 no. 3 (Sep. 1956), page 219-228.
Topik: Analysis Problem; Nature of Uncertainty Analysis; Orthogonal Case; Non-Orlhogonal Case; Effects of Non-Orthogonality; stimation of Uncertainties
Fulltext: Vol 21 No.3 Sept 1956 p.219-228.pdf (466.56KB)

Isi artikel

Analysis of variance and uncertainty analysis are analogous techniques for partitioning variability. In both analyses negative interaction terms due to negative covariance terms that appear when non-orthogonal predictor variables are allowed may occur. Uncertainties can be estimated directly from variances if the form of distribution is assumed. The decision as to which of the techniques to use depends partly on the properties of the criterion variable. Only uncertainty analysis may be used with a non-metric criterion. Since uncertainties are dimensionless (using no metric), however, uncertainty analysis has a generality which may make it useful even when variances can be computed.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali