25 research outputs found
MTV and MGV: Two Criteria for Nonlinear PCA
ized Variance) are popular criteria for PCA with optimal scaling. They are adopted by the SAS-PRINQUAL procedure and OSMOD (Saito and Otsu,1988). MTV is an intuitive generalization of linear PCA criterion. We will show some proper-ties of nonlinear PCA with these criteria in an application to the data of NLSY79 (Zagorsky,1997), a large panel survey in the U.S., conducted over twenty years. We will show the following. (1) The effectiveness of PCA with optimal scaling as a tool for large social research data analysis. We can obtain useful results when it complements analyses by regression models. (2) Features of MTV and MGV, especially their abilities and deficiencies in real data analysis. 1
Comparative efficacy of two daily use mouthrinses: randomized clinical trial using an experimental gingivitis model
Proposed guidelines for American Dental Association acceptance of products for professional, non-surgical treatment of adult periodontitis
Developing Prediction Rules and Evaluating Observation Patterns Using Categorical Clinical Markers
Analysis of Divergence in Loglinear Models When Expected Frequencies are Subject to Linear Constraints
Asymptotic distribution, Multinomial sampling, -divergence test statistics, Loglinear models,