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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.
how to calculate the semi average method when 8 observations are given?
Bimodal distribution : The probability distribution, or we can simply say the frequency distribution, with two modes. Figure 15 shows the example of each of them
In the experimental studies, the collection of individuals to which the experimental process of interest is not applied. In the observational studies, most often used for a collect
The values assigned to factors for the individual sample units in a factor analysis. The most common approach is "regression method". When the factors are seen as the random variab
How large would the sample need to be if we are to pick a 95% confidence level sample: (i) From a population of 70; (ii) From a population of 450; (iii) From a population of 1000;
O'Brien's two-sample tests are the extensions of the conventional tests for assessing the differences between treatment groups which take account of the possible heterogeneous nat
Opreation research phase
A two-step distillation and mixing process is shown in the figure. The system operates at steady-state conditions and there are no chemical reactions. The known flow rates and comp
Change point problems : Problems with chronologically ordered data collected over the period during which there is known to have been a change in the underlying data generation cou
Isobologram is a diagram used to characterize the interactions among jointly administered drugs or the chemicals. The contour of the constant response (that is the isobole), which
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