by D. Reidel Pub. Co., Sold and distributed in the U.S.A. and Canada by Kluwer Academic Publishers in Dordrecht, Boston, Hingham, MA .
Written in English
Includes bibliographies and index.
|Statement||edited by G.N. van Vark and W.W. Howells.|
|Contributions||Vark, G. N. van 1931-, Howells, W. W. 1908-|
|LC Classifications||GN56 .M8 1984|
|The Physical Object|
|Pagination||x, 433 p. :|
|Number of Pages||433|
|LC Control Number||84002007|
ISBN: OCLC Number: Description: x, pages: illustrations ; 25 cm: Contents: Interpretation of metrical variables in multivariate analysis / R.S. Corruccini --Some recent advances in multivariate analysis applied to anthropometry / J.C. Gower and P.G.N. Digby --Incomplete samples from multivariate normal distributions with the same, . Description: Physical anthropologists, like other research workers, are recognizing that the standard multivariate statistical techniques of recent decades are in need of refinement and greater precision. Increasingly it is felt that more sophisticated methods are called for, specifically designed for the materials and problems at issue. Get up-to-speed on the latest methods of multivariate statistics Multivariate statistical methods provide a powerful tool for analyzing data when observations are taken over a period of time on the same subject. With the advent of fast and efficient computers and the availability of computer packages such as S-plus and SAS, multivariate methods once too complex to tackle are now . the book, to introduce multivariate statistical methods to non-mathematicians while keeping details to a minimum, but still conveying a good idea of what can be done in the area of multiv ariate Author: Andreas Rosenblad.
This chapter is taken from my textbook "Statistical Analysis: An Interdisciplinary Introduction to Univariate and Multivariate Methods," which is a more full-scale text, containing all the material in this edition plus a more thorough coverage of univariate, experimental design, multiple comparisons, time series, and probability topics, as Cited by: Statistical methods have become a mainstay in physical anthropology – and a working knowledge of statistics is as necessary in dental anthropology as in any other aspect of the field. It may seem odd to have a chapter on statistics in a book discussing advances in dental anthropology. SOCIAL SCIENCE RESEARCH, 2, () Multivariate Analysis and Anthropological Applications SANDRA L. SCHULTZ Department of Anthropology, University of Arizona, Tucson, Arizona A brief history of the use of statistical concepts in the field of anthropology is reviewed as is the history of the development of multivariate by: 1. An introductory text for students learning multivariate statistical methods for the first time, this book keeps mathematical details to a minimum while conveying the basic principles. One of the principal strategies used throughout the book--in addition to the presentation of actual data analyses--is pointing out the analogy between a common.
Multivariate Statistics Old School Mathematical and methodological introduction to multivariate statistical analytics, including linear models, principal components, covariance structures, classiﬁcation, and clustering, providing background for machine learning and big data study, with R John I. Marden Department of StatisticsFile Size: 2MB. Applied Multivariate Statistics by Johnson and Wichern. [Brad Hartlaub] I haven't done much with it, but I do like the idea of using modern techniques and modern data sets: Modern Multivariate Statistical Techniques by Alan Julian Izenman. (I own the book, it has the topics you are looking for, and the text seems accessible.) [Johanna Hardin]. Interpretation of metrical variables in multivariate analysis / R.S. Corruccini --Some recent advances in multivariate analysis applied to anthropometry / J.C. Gower and P.G.N. Digby --Incomplete samples from multivariate normal distributions with the same, known covariance matrix / W.H.V. de Goede --Use of diversity and distance measures in. Ideal for non-math majors, Advanced and Multivariate Statistical Methods teaches students to interpret, present, and write up results for each statistical technique without overemphasizing advanced math. This highly applied approach covers the why, what, when and how of advanced and multivariate statistics in a way that is neither too technical nor too by: