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The graphical method for studying the behavior of the seasonal time series. In such a plot, the January values of seasonal component are graphed for the upcoming years, then the
February values are graphed, and so on. For each monthly subseries the mean of values is represented by the horizontal line. The graph permits an assessment of the overall pattern of seasonal change, as portrayed by horizontal mean lines, as well as the behavior of each of the monthly subseries. Since the entire latter are on the same graph it is readily seen whether the change in any subseries is big or small compared with that in the overall pattern of seasonal component. The plot is shown in the figure drawn below
Greenhouse geissercorrection is the method of adjusting the degrees of freedom of the within- subject F-tests in the analysis of the variance of longitudinal data so as to allow t
methods of determining trend in time series?
Matching distribution is a probability distribution which arises in the following manner. Suppose that the set of n subjects, numbered 1; . . . ; n respectively, are arranged in
Bootstrap : The data-based simulation method/technique for the statistical inference which can be used to study the variability of the estimated characteristics of the probability
Normality - Reasons for Screening Data Prior to analyzing multivariate normality, one should consider univariate normality Histogram, Normal Q-Qplot (values on x axis
CONSTRUCTION OF AN OR MODEL
meaning,uses,shortcomings and drawbacks of vital statistics
K-means cluster analysis is the method of cluster analysis in which from an initial partition of observations into K clusters, each observation in turn is analysed and reassigned,
re-reference all these indexes
The tabulation of a sample of observations in terms of numbers falling below particular values. The empirical equivalent of the growing probability distribution. An example of such
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