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Growth curve analysis is the general term for methods dealing with development of the individuals over time. A classic instance includes recordings made on a group of children, say, of height or weight at the specific ages. The plot of the former against the latter for each child provides the individual's growth curve. Conventionally low-degree polynomials are ?tted to such type of curves, and the resulting parameter estimates used for the inferences such as comparisons between boy and girls.
The problem that the studies are not uniformly probable to be published in the scientific journals. There is evidence that the statistical significance is a main determining factor
can you help specify the model for an event study and to interpret the results/
Can I use ICC for this kind of data? Wind Month Day Temp(DV) 7.4 5 1 67 8 5 2 72 12.6 5 3 74 11.5 5 4 62 I am taking temp as the dependent variable. There are many more values.
The measure of the degree to which the particular model differs from the saturated model for the data set. Explicitly in terms of the likelihoods of the two models can be defined a
historigrams and histogram
The Null Hypothesis - H0: There is no autocorrelation The Alternative Hypothesis - H1: There is at least first order autocorrelation Rejection Criteria: Reject H0 if LBQ1 >
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
Tracking is the term sometimes used in the discussions of data from the longitudinal study, to describe the ability to predict the subsequent observations from previous values. In
when there is tie in sequencing then what we do
An auditor for a government agency needs to evaluate payments for doctors' office visits paid by Medicare in a small regional town during the month of June. A total of 25,056 visit
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