Amazon cover image
Image from Amazon.com

Methods of multivariate analysis [Book] / Alvin C. Rencher, William F. Christensen, Department of Statistics, Brigham Young University, Provo, UT.

By: Contributor(s): Material type: TextTextSeries: Wiley series in probability and statistics | Wiley series in probability and statisticsPublication details: Hoboken, New Jersey : John Wiley & Sons, c2012.Edition: 3rd edDescription: xxv, 758 pages ; 25 cmISBN:
  • 9780470178966 (hardback)
Subject(s): DDC classification:
  • 519.5 35 23
Other classification:
  • 519.535
Summary: "This new edition, now with a co-author, offers a complete and up-to-date examination of the field. The authors have streamlined previously tedious topics, such as multivariate regression and MANOVA techniques, to add newer, more timely content. Each chapter contains exercises, providing readers with the opportunity to test and extend their understanding. The new edition also presents several expanded topics in Kronecker product; prediction errors; maximum likelihood estimation; and selective key, but accessible proofs. This resource meets the needs of both statistics majors and those of students and professionals in other fields"-- Provided by publisher.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books Books Junaid Zaidi Library, COMSATS University Islamabad 519.535 REN-M (Browse shelf(Opens below)) Available 45072
Total holds: 0

"This new edition, now with a co-author, offers a complete and up-to-date examination of the field. The authors have streamlined previously tedious topics, such as multivariate regression and MANOVA techniques, to add newer, more timely content. Each chapter contains exercises, providing readers with the opportunity to test and extend their understanding. The new edition also presents several expanded topics in Kronecker product; prediction errors; maximum likelihood estimation; and selective key, but accessible proofs. This resource meets the needs of both statistics majors and those of students and professionals in other fields"-- Provided by publisher.

All.

There are no comments on this title.

to post a comment.