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Contour plot: A topographical map drawn from data comprising observations on the three variables. One variable is represented on horizontal axis and the second variable is represented on the vertical axis. The third variable is represented by the isolines. These plots are many times helpful in data analysis, especially when the searching for maxima or minima in such type of data. The plots are most often taken in use to display the graphically bivariate distributions in which case the third variable is value of the probability density function corresponding to the values of the two variables. An alternative method or technique of displaying the same material is given by the perspective plot in which the values on third variable are represented by the series of lines constructed to give the three-dimensional view of data. The figure 43 drawn above gives examples of these plots using the birth and death rate data from the number of nations with a kernel density estimator used to calculate or measure the bivariate distribution.
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Historical controls : The group of patients treated in the past with the standard therapy, taken in use as the control group for evaluating the new treatment on the present patient
Longitudinal data : The data arising when each of the number of subjects or patients give rise to the vector of measurements representing same variable observed at the number of di
Zero-inflated Poisson regression is the model for count data with the excess zeros. It supposes that with probability p the only possible observation is 0 and with the probabilit
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This is extension of the EM algorithm which typically converges more slowly than EM in terms of the iterations but can be much faster in the whole computer time. The general idea o
The probability distribution of the various observations is required to obtain the run of two successes in the series of Bernoulli trials with the probability of success equal to a
Command-Line options Compression: C++: ./compress -f myfile.txt [-o myfile.hzip -s Java: sh compress.sh -f myfile.txt [-o myfile.hzip -s] Decompression:
I have a problem I am trying to solve. An oil company thinks that there is a 60% chance that there is oil in the land they own. Before drilling they run a soil test. When there is
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
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