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Theory of Multivariate Statistics
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Bibliographic Detail
Publisher Springer Verlag
Publication date May 6, 2013
Pages 306
Binding Paperback
Edition Reprint
Book category Adult Non-Fiction
ISBN-13 9781475773033
ISBN-10 147577303X
Dimensions 0 by 6.11 by 9.26 in.
Original list price $119.00
Summaries and Reviews
Amazon.com description: Product Description: Intended as a textbook for students taking a first graduate course in the subject, as well as for the general reference of interested research workers, this text discusses, in a readable form, developments from recently published work on certain broad topics not otherwise easily accessible, such as robust inference and the use of the bootstrap in a multivariate setting. A minimum background expected of the reader would include at least two courses in mathematical statistics, and certainly some exposure to the calculus of several variables together with the descriptive geometry of linear algebra.

Editions
Hardcover
Book cover for 9780387987392
 
from Springer Verlag (August 1, 1999)
9780387987392 | details & prices | 288 pages | 6.25 × 9.25 × 0.75 in. | 1.20 lbs | List price $119.00
About: Intended as a textbook for students taking a first graduate course in the subject, as well as for the general reference of interested research workers, this text discusses, in a readable form, developments from recently published work on certain broad topics not otherwise easily accessible, such as robust inference and the use of the bootstrap in a multivariate setting.
Paperback
Book cover for 9781475773033
 
The price comparison is for this edition
Reprint edition from Springer Verlag (May 6, 2013)
9781475773033 | details & prices | 306 pages | List price $119.00
About: Intended as a textbook for students taking a first graduate course in the subject, as well as for the general reference of interested research workers, this text discusses, in a readable form, developments from recently published work on certain broad topics not otherwise easily accessible, such as robust inference and the use of the bootstrap in a multivariate setting.

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