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Tree is the term from the branch of the mathematics which known as the graph theory, used to describe any set of the straight-line segments joining the pairs of points in some probably of the multidimensional space, so that
* each point is linked to every other point by the set of lines,
* every point is visited by at least one of the lines,
* no closed circuits seems in the structure.
If length of any of the segment is given by the distance between two points it connects, then the length of the tree is defined to be the sum of the lengths of its segments. Particularly significant in some aspects of the multivariate analysis is the minimum spanning tree of the set of n points which is simply tree of shortest length among all trees which could be constructed from these points.
Prevalence : The measure of the number of people in a population who have a certain disease at a given point in time. It c an be measured by two methods, as point prevalence and p
The procedures for extracting the pattern in a series of observations when this is obscured by the noise. Basically any such technique or method separates the original series into
Classification matrix: A term many times used in discriminant analysis for the matrix summarizing the results and outputs obtained from the derived classi?cation rule, and obtaine
This term sometimes used to describe the extra factor in variance of the sample mean when n sample values are drawn without the replacement from the finite population of size N. Th
calculate the mean yearly value using the average unemployment rate by month
Interval-censored observations are the observations which often occur in the context of studies of time elapsed to the particular event when subjects are not monitored regularl
how do you do this project
It is an informal method of assessing the effect of the publication bias, generally in the context of the meta-analysis. The effect measures from each of the reported study are plo
Computer-aided diagnosis : The computer programs which are designed to support clinical decision making. In common, such systems are based on the repeated application of the Bay
Link functions: The link function relates the linear predictor ηi to the expected value of the data. In classical linear models the mean and the linear predictor are identical
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