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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).
Coefficient of concordance : The coef?cient is taken in use to assess the agreement among m raters ranking n individuals according to some of the speci?c characteristic. Which can
Data theory is anxious with how observations are transformed into data which can be analyzed. Data are thus viewed as the theory laden in the sense that the observations can be giv
The Null Hypothesis - H0: There is no first order autocorrelation The Alternative Hypothesis - H1: There is first order autocorrelation Durbin-Watson statistic = 1.98307
Balanced incomplete repeated measures design (BIRMD): An arrangement of the N randomly selected experimental units and k treatments in which each and every unit receives k1 treatm
Average age at death : A ?awed statistic summarizing expectancy of the life and other aspects of the mortality. For instance, a study comparing average age at the death for male sy
Profile plots is a technique of representing the multivariate data graphically. Each of the observation is represented by a diagram comprising of a sequence of equispaced vertical
Maximum likelihood estimation is an estimation procedure involving maximization of the likelihood or the log-likelihood with respect to the parameters. Such type of estimators is
1) Has smartphones affected the consumer behavior? If so How ? And how is it going to change in future? 2) Forecasting of Mobile market (Time series analysis) 3) Comparison of fou
A subject who withdraws from the study for whatever reason, adverse side effects, noncompliance, moving away from the district, etc. In number of cases the reason may not be known.
Range is the difference between the largest and smallest observations in the data set. Commonly used as an easy-to-calculate measure of the dispersion in the set of observations b
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