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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).
L'Abbe ´ plot is often used in the meta-analysis of the clinical trials where the result is the binary response of it. The event risk (number of events/number of the patients in a
Zero sumgame is a game played by the number of persons in which the winner takes all stakes given by the losers so that the algebraic sum of gains at any stage is zero. Number of
Economic Interpretation of the Optimum Simplex solution
Oracle property is a name given to techniques for estimating the regression parameters in the models fitted to high-dimensional data which have the property that they can correctl
Randomization tests are the procedures for determining the statistical significance directly from the data with- out recourse to some particular sampling distribution. For instanc
The Null Hypothesis - H0: β 1 = 0 i.e. there is homoscedasticity errors and no heteroscedasticity exists The Alternative Hypothesis - H1: β 1 ≠ 0 i.e. there is no homoscedasti
Bonferroni correction : A procedure for guarding against the rise in the probability of a type I error when performing the multiple signi?cance tests. To maintain probability of a
Prior distributions : The probability distributions which summarize the information about a random variable or parameter known or supposed at a given time instant, prior to attaini
Link functions: The link function relates the linear predictor ηi to the expected value of the data. In classical linear models the mean and the linear predictor are identical
The variables appearing on the right-hand side of equations defining, for instance, multiple regressions or the logistic regression, and which seek to predict or 'explain' response
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