UID:
almafu_9959328835102883
Format:
1 online resource (xxii, 708 pages) :
,
illustrations
Edition:
2nd ed.
ISBN:
9780471271352
,
0471271357
,
0471461725
,
9780471461722
Series Statement:
Wiley series in probability and mathematical statistics
Content:
When measuring several variables on a complex experimental unit, it is often necessary to analyze the variables simultaneously, rather than isolate them and consider them individually. Multivariate analysis enables researchers to explore the joint performance of such variables and to determine the effect of each variable in the presence of the others. The Second Edition of Alvin Rencher's Methods of Multivariate Analysis provides students of all statistical backgrounds with both the fundamental and more sophisticated skills necessary to master the discipline.
Note:
Matrix algebra -- Characterizing and displaying multivariate data -- The multivariate normal distribution -- Tests on one or two mean vectors -- Multivariate analysis of variance -- Tests on covariance matrices -- Discriminant analysis : description of group separation -- Classification analysis : allocation of observations to groups -- Multivariate regression -- Canonical correlation -- Principal component analysis -- Factor analysis -- Cluster analysis -- Graphical procedures.
,
English.
Additional Edition:
Print version: Rencher, Alvin C., 1934- Methods of multivariate analysis. New York : J. Wiley, 2002 ISBN 0471418897
Language:
English
Keywords:
Electronic books.
;
Leermiddelen (vorm)
;
Naslagwerken (vorm)
;
Electronic books.
;
Leermiddelen (vorm)
;
Naslagwerken (vorm)
;
Electronic books.
;
Leermiddelen (vorm)
;
Naslagwerken (vorm)
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/0471271357
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/0471271357
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/0471271357
