James Arbuckle

9 papers and 218 indexed citations i.

James Arbuckle has authored 9 papers that have received a total of 218 indexed citations. This includes 4 papers in Statistics and Probability, 3 papers in Artificial Intelligence and 2 papers in Management Science and Operations Research. The topics of these papers are Multi-Criteria Decision Making (2 papers), Neural Networks and Applications (2 papers) and Blind Source Separation Techniques (2 papers). James Arbuckle is often cited by papers focused on Multi-Criteria Decision Making (2 papers), Neural Networks and Applications (2 papers) and Blind Source Separation Techniques (2 papers) and collaborates with scholars based in United States and Canada. James Arbuckle's co-authors include Michael Friendly, Leona S. Aiken and James Larimer and has published in prestigious journals such as Psychometrika, The American Statistician and Behavior Research Methods