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Response feature analysis is the approach to the analysis of longitudinal data including the calculation of the suitable summary measures from the set of repeated measures on each subject.
For instance, the mean of the subject's measurements may be calculated or the maximum value of the response variable over repeated measurements, etc. Simple techniques such as
The Student's t-tests or the Mann-Whitney tests are applied to these summary measures to assess differences between the treatments.
Kurtosis: The extent to which the peak of the unimodal probability distribution or the frequency distribution departs from its shape of the normal distribution, by either being mo
Goodmanand kruskal measures of association is the measures of associations which are useful in the situation where two categorical variables cannot be supposed to be derived from
Bayes factor : A summary of evidence for the modelM1 against the another modelM0 provided by the set of data D, which can be used in the model selection. Given by the ratio of post
Generalized principal components analysis: The non-linear version of the principal components analysis in which the goal is to determine the non-linear coordinate system which is
The division of a sample of observations into several classes, together with the number of observations in each of them. It acts as a useful summary of the main features of the da
how do you do this project
what is goal post mentality?
A term which covers the large number of techniques for the analysis of the multivariate data which have in common the aim to assess whether or not the set of variables distinguish
Conditional probability : The probability that an event occurs given the outcome of other event. Generally written, Pr(A|B). For instance, the probability of a person being color b
what is measures of variability?
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