A broad review is given of some areas of multivariate analysis that are not frequently emphasized. We start with situations in which underlying distributions are far from multivariate normal form, so that standard methods of multivariate analysis based on covariances are likely to be unsatisfactory. We emphasize the important distinction between internal and external analyses associated with multiple outcomes. A second broad theme relates to multiple outcomes generated by time or spatial series in which long-range dependence operates. Some implications are summarized
Simple quantitative evaluations of isolate behavioral elements (i.e. frequencies, durations, per cen...
For over 30 years, this text has provided students with the information they need to understand and ...
Longitudinal experiments often involve multiple outcomes measured repeatedly within a set of study p...
Simple quantitative evaluations of isolate behavioral elements (i.e. frequencies, durations, per cen...
Simple quantitative evaluations of isolate behavioral elements (i.e. frequencies, durations, per cen...
Summary The study of a multivariate data set concerning two or more variables of the phenomenon of ...
In the last few decades the accumulation of large amounts of in formation in numerous applications....
AbstractA cross section of basic yet rapidly developing topics in multivariate data analysis is surv...
Most of statistical methods only focus on analysis of one random variable at a time – Univariate ana...
This review covers multivariate statistical methods other than factor analysis. Previous reviewers h...
Crucial feature of emergent phenomena is that, even if basic processes are fully elucidated and/or d...
Crucial feature of emergent phenomena is that, even if basic processes are fully elucidated and/or d...
Multivariate analysis is necessary whenever more than one characteristic is observed on each individ...
The purpose of this paper is to review some meth ods for analyzing multivariate data in education an...
Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in ...
Simple quantitative evaluations of isolate behavioral elements (i.e. frequencies, durations, per cen...
For over 30 years, this text has provided students with the information they need to understand and ...
Longitudinal experiments often involve multiple outcomes measured repeatedly within a set of study p...
Simple quantitative evaluations of isolate behavioral elements (i.e. frequencies, durations, per cen...
Simple quantitative evaluations of isolate behavioral elements (i.e. frequencies, durations, per cen...
Summary The study of a multivariate data set concerning two or more variables of the phenomenon of ...
In the last few decades the accumulation of large amounts of in formation in numerous applications....
AbstractA cross section of basic yet rapidly developing topics in multivariate data analysis is surv...
Most of statistical methods only focus on analysis of one random variable at a time – Univariate ana...
This review covers multivariate statistical methods other than factor analysis. Previous reviewers h...
Crucial feature of emergent phenomena is that, even if basic processes are fully elucidated and/or d...
Crucial feature of emergent phenomena is that, even if basic processes are fully elucidated and/or d...
Multivariate analysis is necessary whenever more than one characteristic is observed on each individ...
The purpose of this paper is to review some meth ods for analyzing multivariate data in education an...
Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in ...
Simple quantitative evaluations of isolate behavioral elements (i.e. frequencies, durations, per cen...
For over 30 years, this text has provided students with the information they need to understand and ...
Longitudinal experiments often involve multiple outcomes measured repeatedly within a set of study p...