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Canonical correlation analysis: A process of analysis for investigating the relationship between the two groups of variables, by ?nding the linear functions of one of the sets of variables which maximally correlate with the linear functions of the variables in the other set. In numerous respects the process can be seen as an extension of multiple regressions to situations including more than a single response variable. Alternatively it can be considered as the analogous to principal components analysis except that the correlation rather than a variance is maximized.
An easy example of where this type of technique or method might be of interest is when the results of tests for, say, reading speed (x1), arithmetical speed (y1), reading power (x2), and arithmetical power (y4), are available from the sample of school children, and the question of interest is whether the reading ability (measured by x1 and x2) or not is related to arithmetical ability (as measured by y1 and y2).
It is the diagram used to display the values graphically in a frequency distribution. The frequencies are graphed as an ordinate against the class mid-points as abscissae. The p
Glejser test is the test for the heteroscedasticity in the error terms of the regression analysis which involves regressing the absolute values of the regression residuals for the
Over dispersion is the phenomenon which occurs when empirical variance in the data exceeds the nominal variance under some supposed model. Most often encountered when the modeling
MEANING ,IMPORTANCE AND RELEAVANCE OF SCATTER DIAGRAM
A value related with the square matrix which represents sums and products of its elements. For instance, if the matrix is then the determinant of A (conventionally written as
Monty Hall problem : A apparently counter-intuitive problem in the probability which gets its name from the TV game show, 'Let's Make a Deal' hosted by the Monty Hall. On show a pa
Prevalence : The measure of the number of people in a population who have a certain disease at a given point in time. It c an be measured by two methods, as point prevalence and p
The procedure for clustering variables in the multivariate data, which forms the clusters by performing one or other of the below written three operations: * combining two varia
Catastrophe theory : A theory of how little is the continuous changes in the independent variables which can have unexpected, discontinuous effects on the dependent variables. Exam
Kleiner Hartigan trees is a technique for displaying the multivariate data graphically as the 'trees' in which the values of the variables are coded into length of the terminal br
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