James Stewart, LotharRedlin, Saleem Watson: Algebra and Trigonometry, Cengage Learning, 2015. Javier E. Hasbun: Classical Mechanics with MATLAB Applications, Jones and Bartlett Learning, 2010. Jimmie Gilbert: Linear Algebra and Matrix ...
Multivariate Analysis deals with observations on more than one variable where there is some inherent interdependence between the variables. With several texts already available in this area, one may very...
Multivariate Analysis: An Application-Oriented Introduction
Multivariate Analysis: Techniques for Educational and Psychological Research
possible to have a single biplot diagram that can be used both for interpolation and prediction; two quite separate diagrams must be used. As with linear biplots, non-linear prediction trajectories are not uniquely defined and any ...
This book presents the state-of-the-art information of multivariate analysis and its application in various fields.
This is why multivariate data analysis is essential for business and science. This book offers an easy-to-understand introduction to the most relevant methods of multivariate data analysis.
Multivariate Analysis
Structural Sensitivity in Econometric Models Edwin Kuh, John W. Neese and Peter Hollinger Provides a pathbreaking assessment of the worth of linear dynamic systems methods for probing the behavior of...