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Compound symmetry: The property possessed by the variance-covariance matrix of the set of multivariate data when its chief diagonal elements are equal to each other, and in addition its off-diagonal elements are equal as well. Consequently the matrix has the general form which is given as follows; where ρ is the supposed as common correlation coefficient of the measures. Of most importance in the analysis of the longitudinal data since it is the correlation structure supposed by the random intercept model often used to analyze such data.
The theory of measurement which recognizes that in any measurement situation there are multiple (actually infinite) sources of variation (known as facets in the theory), and that a
Matching coefficient is a similarity coefficient for data consisting of the number of binary variables which is often used in cluster analysis. It can be given as follows he
how to get the proportional allocation of the give stratified random sampling example
importance of time series on the number of babies given birth
Formal graphical representation of the "causal diagrams" or the "path diagrams" where the relationships are directed but acyclic (that is no feedback relations allowed). Plays an
Greenhouse geissercorrection is the method of adjusting the degrees of freedom of the within- subject F-tests in the analysis of the variance of longitudinal data so as to allow t
Artificial neural network : A mathematical arrangement modelled on the human neural network and designed to attack various statistical problems, particularly in the region of patte
Misspecification is the term is applied to describe the assumed statistical models which are incorrect for one of the several of reasons, for instance, using the wrong probability
Normal approximation : Normal distributions which approximate other distributions; such as, a normal distribution with the mean np and variance np(1 - p) which acts as an approxima
Invariant transformations to combine marginal probability functions to form multivariate distributions motivated by the need to enlarge the class of multivariate distributions beyo
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