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Adv in Multivariate Statistical.....(V4)
Contributor(s): Ashis SenGupta (Author)
ISBN: 9812838236     ISBN-13: 9789812838230
Publisher: World Scientific Publishing Company
OUR PRICE:   $168.15  
Product Type: Hardcover
Published: August 2009
Qty:
Annotation: This volume contains a collection of research articles on multivariate statistical methods, encompassing both theoretical advances and emerging applications in a variety of scientific disciplines. It serves as a tribute to Professor S N Roy, an eminent statistician who has made seminal contributions to the area of multivariate statistical methods, on his birth centenary. In the area of emerging applications, the topics include bioinformatics, categorical data and clinical trials, econometrics, longitudinal data analysis, microarray data analysis, sample surveys, statistical process control, etc.

Researchers, professionals and advanced graduates will find the book an essential resource for modern developments in theory as well as for innovative and emerging important applications in the area of multivariate statistical methods.

Additional Information
BISAC Categories:
- Mathematics | Probability & Statistics - Multivariate Analysis
- Business & Economics | Decision Making & Problem Solving
Dewey: 519.5
Series: Platinum Jubilee
Physical Information: 1.2" H x 6.1" W x 9" (1.85 lbs) 492 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
This volume contains a collection of research articles on multivariate statistical methods, encompassing both theoretical advances and emerging applications in a variety of scientific disciplines. It serves as a tribute to Professor S N Roy, an eminent statistician who has made seminal contributions to the area of multivariate statistical methods, on his birth centenary. In the area of emerging applications, the topics include bioinformatics, categorical data and clinical trials, econometrics, longitudinal data analysis, microarray data analysis, sample surveys, statistical process control, etc.Researchers, professionals and advanced graduates will find the book an essential resource for modern developments in theory as well as for innovative and emerging important applications in the area of multivariate statistical methods.