The article traces the history of multivariate analysis, the pioneering contributions of R. A. Fisher, the development of multivariate statistical methodology for applications in various fields under the guidance of Fisher, the work of the Indian School of Statisticians under the leadership of P. C. Mahalanobis, the author's experience in the statistical analyses of three large bodies of anthropometric data, and some of the modern trends of research. The origin and development of multivariate analysis clearly show that contact with live problems is essential for worthwhile research in statistical methodology
Before the beginning of this century, statistics meant observed data and descriptive summary figures...
This paper presents some of the results of the cooperation between the author, a physical anthropolo...
The scientist searching for structure in large systems of data finds inspiration in his own discipli...
The current volume was written with a simple goal: to make the topic of multivariate statistics more...
This book offers a concise and well-organized introduction to multivariate statistical analysis meth...
This review covers multivariate statistical methods other than factor analysis. Previous reviewers h...
Multivariate analysis is necessary whenever more than one characteristic is observed on each individ...
For over 30 years, this text has provided students with the information they need to understand and ...
The development of multidimensional data analysis in the Netherlands can be traced back to early att...
This fully updated new edition not only provides an introduction to a range of advanced statistical ...
AbstractA cross section of basic yet rapidly developing topics in multivariate data analysis is surv...
A critical review of the increasing emphasis being placed on the use of multivariate statistical met...
The use of multivariate statistical techniques for quality and process control in the food industry ...
The analysis of variance was created by Ronald Fisher in 1923. It is most widely used and basically ...
The most obvious points of contact between linear and matrix algebra and statistics are in the area ...
Before the beginning of this century, statistics meant observed data and descriptive summary figures...
This paper presents some of the results of the cooperation between the author, a physical anthropolo...
The scientist searching for structure in large systems of data finds inspiration in his own discipli...
The current volume was written with a simple goal: to make the topic of multivariate statistics more...
This book offers a concise and well-organized introduction to multivariate statistical analysis meth...
This review covers multivariate statistical methods other than factor analysis. Previous reviewers h...
Multivariate analysis is necessary whenever more than one characteristic is observed on each individ...
For over 30 years, this text has provided students with the information they need to understand and ...
The development of multidimensional data analysis in the Netherlands can be traced back to early att...
This fully updated new edition not only provides an introduction to a range of advanced statistical ...
AbstractA cross section of basic yet rapidly developing topics in multivariate data analysis is surv...
A critical review of the increasing emphasis being placed on the use of multivariate statistical met...
The use of multivariate statistical techniques for quality and process control in the food industry ...
The analysis of variance was created by Ronald Fisher in 1923. It is most widely used and basically ...
The most obvious points of contact between linear and matrix algebra and statistics are in the area ...
Before the beginning of this century, statistics meant observed data and descriptive summary figures...
This paper presents some of the results of the cooperation between the author, a physical anthropolo...
The scientist searching for structure in large systems of data finds inspiration in his own discipli...