Some Uses of the Distribution of the Largest Root in Multivariate Analysis
Author : D. L. Heck
Publisher :
Page : 96 pages
File Size : 20,68 MB
Release : 1958
Category : Distribution (Probability theory)
ISBN :
Author : D. L. Heck
Publisher :
Page : 96 pages
File Size : 20,68 MB
Release : 1958
Category : Distribution (Probability theory)
ISBN :
Author :
Publisher :
Page : 574 pages
File Size : 49,70 MB
Release : 1970
Category : Weights and measures
ISBN :
Author :
Publisher :
Page : 620 pages
File Size : 42,28 MB
Release : 1966
Category : Multivariate analysis
ISBN :
Author : Brian Everitt
Publisher : Springer Science & Business Media
Page : 284 pages
File Size : 45,15 MB
Release : 2011-04-23
Category : Mathematics
ISBN : 1441996508
The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few cases, it may be sensible to isolate each variable and study it separately, but in most instances all the variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another method of multivariate analysis might be helpful, and it is with such methods that this book is largely concerned. Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The aim of all the techniques is, in general sense, to display or extract the signal in the data in the presence of noise and to find out what the data show us in the midst of their apparent chaos. An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as much information as possible from the data at hand, particularly as some type of graphical representation, via the R software. Throughout the book, the authors give many examples of R code used to apply the multivariate techniques to multivariate data.
Author : Robb J. Muirhead
Publisher : John Wiley & Sons
Page : 706 pages
File Size : 18,5 MB
Release : 2009-09-25
Category : Mathematics
ISBN : 0470316705
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. ". . . the wealth of material on statistics concerning the multivariate normal distribution is quite exceptional. As such it is a very useful source of information for the general statistician and a must for anyone wanting to penetrate deeper into the multivariate field." -Mededelingen van het Wiskundig Genootschap "This book is a comprehensive and clearly written text on multivariate analysis from a theoretical point of view." -The Statistician Aspects of Multivariate Statistical Theory presents a classical mathematical treatment of the techniques, distributions, and inferences based on multivariate normal distribution. Noncentral distribution theory, decision theoretic estimation of the parameters of a multivariate normal distribution, and the uses of spherical and elliptical distributions in multivariate analysis are introduced. Advances in multivariate analysis are discussed, including decision theory and robustness. The book also includes tables of percentage points of many of the standard likelihood statistics used in multivariate statistical procedures. This definitive resource provides in-depth discussion of the multivariate field and serves admirably as both a textbook and reference.
Author : Samarenda Nath Roy
Publisher :
Page : 298 pages
File Size : 40,25 MB
Release : 1959
Category :
ISBN :
Author : Wolfgang Karl Härdle
Publisher : Springer Nature
Page : 611 pages
File Size : 43,52 MB
Release :
Category :
ISBN : 3031638336
Author : Brian L. Joiner
Publisher :
Page : 512 pages
File Size : 20,50 MB
Release : 1970
Category : Annals of mathematical statistics
ISBN :
All articles, notes, queries, corrigenda, and obituaries appearing in the following journals during the indicated years are indexed: Annals of mathematical statistics, 1961-1969; Biometrics, 1965-1969#3; Biometrics, 1951-1969; Journal of the American Statistical Association, 1956-1969; Journal of the Royal Statistical Society, Series B, 1954-1969,#2; South African statistical journal, 1967-1969,#2; Technometrics, 1959-1969.--p.iv.
Author : Neil H. Timm
Publisher : Springer Science & Business Media
Page : 709 pages
File Size : 49,91 MB
Release : 2007-06-21
Category : Mathematics
ISBN : 0387227717
This book provides a broad overview of the basic theory and methods of applied multivariate analysis. The presentation integrates both theory and practice including both the analysis of formal linear multivariate models and exploratory data analysis techniques. Each chapter contains the development of basic theoretical results with numerous applications illustrated using examples from the social and behavioral sciences, and other disciplines. All examples are analyzed using SAS for Windows Version 8.0.
Author : United States. Air Force. Office of Scientific Research
Publisher :
Page : 1136 pages
File Size : 23,11 MB
Release : 1957
Category : Research
ISBN :