This collection includes:
Finite Mixture Models
Describes the formulations of the finite mixture approach, detailsits methodology, discusses aspects of its implementation, andillustrates its application in many common statisticalcontexts.
The EM Algorithm and Extensions, 2nd Edition
The EM Algorithm and Extensions, Second Edition successfullyprovides a basic understanding of the EM algorithm by describingits inception, implementation, and applicability in numerousstatistical contexts.
Analyzing Microarray Gene Expression Data
Following a basic overview of the biological and technicalprinciples behind microarray experimentation, the text provides alook at some of the most effective tools and procedures forachieving optimum reliability and reproducibility of researchresults.
Discriminant Analysis and Statistical Pattern Recognition
This book provides a modern, comprehensive, and systematic accountof discriminant analysis and statistical pattern recognition.