Methods of multivariate analysis / Alvin C. Rencher and William F. Christensen.

By:

Rencher, Alvin C

Contributor(s):

Christensen, William F, 1970-

Material type: Text

TextPublication details: Canada : A John wiley & sons, inc publication c2012.Edition: 3rd edDescription: xxv, 758 pages ; 25 cmISBN:

9780470178966 (hardback)

Subject(s):

DDC classification:

519.535 REN

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"--

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Holdings
Item type	Current library	Call number	Copy number	Status	Barcode
Book	Mzumbe University Main Campus Library	519.535 REN (Browse shelf(Opens below))	1	Available	0081348
Book	Mzumbe University Main Campus Library	519.535 REN (Browse shelf(Opens below))	2	Available	0081347
Book	Mzumbe University Main Campus Library	519.535 REN (Browse shelf(Opens below))	3	Available	0081349

Total holds: 0

Includes bibliographical references (pages 728-744) and index.

"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"--

eng.

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