Wayne F. Velicer combines topics linked to Correspondence analysis, Stability (learning theory) and Component analysis with his work on Machine learning. Wayne F. Velicer carries out multidisciplinary research, doing studies in Stability (learning theory) and Machine learning. The study of Component analysis is intertwined with the study of Statistics in a number of ways. Wayne F. Velicer incorporates Statistics and Canonical correlation in his studies. Wayne F. Velicer combines Canonical correlation and Principal component analysis in his research. He integrates Principal component analysis and Correspondence analysis in his research. His study on Geometry is interrelated to topics such as Rotation (mathematics), Correlation and Procrustes analysis. Wayne F. Velicer frequently studies issues relating to Artificial intelligence and Rotation (mathematics). The study of Artificial intelligence is intertwined with the study of Image (mathematics) in a number of ways.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
The Transtheoretical Model of Health Behavior Change
James O. Prochaska;Wayne F. Velicer.
American Journal of Health Promotion (1997)
Comparison of five rules for determining the number of components to retain.
William R. Zwick;Wayne F. Velicer.
Psychological Bulletin (1986)
Stages of change and decisional balance for 12 problem behaviors
James O. Prochaska;Wayne F. Velicer;Joseph S. Rossi;Michael G. Goldstein.
Health Psychology (1994)
Relation of sample size to the stability of component patterns.
Edward Guadagnoli;Wayne F. Velicer.
Psychological Bulletin (1988)
The Process of Smoking Cessation: An Analysis of Precontemplation, Contemplation, and Preparation Stages of Change.
Carlo C. DiClemente;James O. Prochaska;Scott K. Fairhurst;Wayne F. Velicer.
Journal of Consulting and Clinical Psychology (1991)
Determining the number of components from the matrix of partial correlations
Wayne F. Velicer.
Psychometrika (1976)
Stages of change in psychotherapy: Measurement and sample profiles.
Eileen A. McConnaughy;James O. Prochaska;Wayne F. Velicer.
Psychotherapy (1983)
Measuring processes of change: applications to the cessation of smoking.
James O. Prochaska;Wayne F. Velicer;Carlo C. DiClemente;Joseph Fava.
Journal of Consulting and Clinical Psychology (1988)
Decisional balance measure for assessing and predicting smoking status.
Wayne F. Velicer;Carlo C. DiClemente;James O. Prochaska;Nancy Brandenburg.
Journal of Personality and Social Psychology (1985)
Affects of variable and subject sampling on factor pattern recovery.
Wayne F. Velicer;Joseph L. Fava.
Psychological Methods (1998)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
University of Rhode Island
University of Rhode Island
University of Rhode Island
Miriam Hospital
University of Maryland, Baltimore County
Northeastern University
Brown University
Dexcom (United States)
Harvard University
The University of Texas MD Anderson Cancer Center
Georgia Institute of Technology
Florida State University
Institute of Mathematical Sciences
The University of Texas at Austin
Transphorm Inc.
Institut Ruđer Bošković
Stanford University
University of Exeter
University of California, Los Angeles
Victoria University of Wellington
University of Florida
International Institute for Applied Systems Analysis
University of California, Davis
Claude Bernard University Lyon 1
Utrecht University
University of Michigan–Ann Arbor