UID:
almahu_9948234134202882
Format:
1 online resource (362 pages) :
,
digital, PDF file(s).
ISBN:
9780511897375 (ebook)
Content:
Multivariate methods are employed widely in the analysis of experimental data but are poorly understood by those users who are not statisticians. This is because of the wide divergence between the theory and practice of multivariate methods. This book provides concise yet thorough surveys of developments in multivariate statistical analysis and gives statistically sound coverage of the subject. The contributors are all experienced in the theory and practice of multivariate methods and their aim has been to emphasize the major features from the point of view of applicability and to indicate the limitations and conditions of the techniques. Professional statisticians wanting to improve their background in applicable methods, users of high-level statistical methods wanting to improve their background in fundamentals, and graduate students of statistics will all find this volume of value and use.
Note:
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
,
Discriminant analysis / L.P. Fatti, D.M. Hawkins, E.L. Raath -- The log-linear model and its application to multi-way contingency tables / T.J. v. W. Kotze -- Cluster analysis / D.M. Hawkins, M.W. Muller, J.A. ten Krooden -- Scaling a data matrix in a low-dimensional Euclidean space / M.J. Greenacre, L.G. Underhill -- Automatic interaction detection / D.M. Hawkins, G.V. Kass -- Covariance structures / M.W. Browne.
Additional Edition:
Print version: ISBN 9780521243681
Language:
English
URL:
https://doi.org/10.1017/CBO9780511897375
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