Tests of Univariate and Multivariate Normality
Author : K. V. Mardia
Publisher :
Page : 53 pages
File Size : 13,97 MB
Release : 1979
Category :
ISBN :
Author : K. V. Mardia
Publisher :
Page : 53 pages
File Size : 13,97 MB
Release : 1979
Category :
ISBN :
Author : Henry C. Thode
Publisher : CRC Press
Page : 506 pages
File Size : 25,55 MB
Release : 2002-01-25
Category : Mathematics
ISBN : 9780203910894
Describes the selection, design, theory, and application of tests for normality. Covers robust estimation, test power, and univariate and multivariate normality. Contains tests ofr multivariate normality and coordinate-dependent and invariant approaches.
Author : K. G. Mehrotra
Publisher :
Page : 66 pages
File Size : 50,90 MB
Release : 1976
Category :
ISBN :
Brief descriptions of some tests of goodness of fit applicable to the assumption of normality are presented. Tests are given for univariate as well as multivariate normality. A summary of their power properties is given. (Author).
Author : Thomas Methner
Publisher :
Page : 282 pages
File Size : 18,22 MB
Release : 1989
Category :
ISBN :
Author : Jurgen Doornik
Publisher :
Page : 0 pages
File Size : 39,49 MB
Release : 2008
Category :
ISBN :
We suggest a convenient version of the omnibus test for normality, using skewness and kurtosis based on Shenton and Bowman [Journal of the American Statistical Association (1977) Vol. 72, pp. 206211], which controls well for size, for samples as low as 10 observations. A multivariate version is introduced. Size and power are investigated in comparison with four other tests for multivariate normality. The first power experiments consider the whole skewness-kurtosis plane; the second use a bivariate distribution which has normal marginals. It is concluded that the proposed test has the best size and power properties of the tests considered.
Author : T. Kuno
Publisher :
Page : 4 pages
File Size : 22,62 MB
Release : 1989
Category :
ISBN :
Author : Neil H. Timm
Publisher : Springer Science & Business Media
Page : 709 pages
File Size : 35,22 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 : Tony Wragg
Publisher : GRIN Verlag
Page : 73 pages
File Size : 27,3 MB
Release : 2011-03
Category :
ISBN : 3640827198
Thesis (M.A.) from the year 1999 in the subject Mathematics - Statistics, grade: Passed, RMIT, course: MAppSc, language: English, abstract: This thesis considers both univariate and multivariate approaches to the analysis of a set of repeated-measures data. Since repeated measures on the same subject are correlated over time, the usual analysis of variance assumption of independence is often violated. The models in this thesis demonstrate different approaches to the analysis of repeated-measures data, and highlight their advantages and disadvantages. Milk from two groups of lactating cows, one group vaccinated, the other not, was analysed every month after calving for eight months in order to measure the amount of bacteria in the milk. The primary goal of the experiment was to determine if a vaccine developed by the Royal Melbourne Institute of Technology's Biology Department led to a significant decrease in mean bacteria production per litre of milk produced compared to the control group. A univariate model suitable for repeated measures data was initially tried, with mean bacteria production in the treatment group not significantly different from the control group (p
Author : Mia Hubert
Publisher : Birkhäuser
Page : 399 pages
File Size : 38,52 MB
Release : 2012-12-06
Category : Mathematics
ISBN : 303487958X
Intended for both researchers and practitioners, this book will be a valuable resource for studying and applying recent robust statistical methods. It contains up-to-date research results in the theory of robust statistics Treats computational aspects and algorithms and shows interesting and new applications.
Author : Alvin C. Rencher
Publisher : John Wiley & Sons
Page : 739 pages
File Size : 19,92 MB
Release : 2003-04-14
Category : Mathematics
ISBN : 0471461725
Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Methods of Multivariate Analysis was among those chosen. 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. To illustrate multivariate applications, the author provides examples and exercises based on fifty-nine real data sets from a wide variety of scientific fields. Rencher takes a "methods" approach to his subject, with an emphasis on how students and practitioners can employ multivariate analysis in real-life situations. The Second Edition contains revised and updated chapters from the critically acclaimed First Edition as well as brand-new chapters on: Cluster analysis Multidimensional scaling Correspondence analysis Biplots Each chapter contains exercises, with corresponding answers and hints in the appendix, providing students the opportunity to test and extend their understanding of the subject. Methods of Multivariate Analysis provides an authoritative reference for statistics students as well as for practicing scientists and clinicians.