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Classification and regression tree technique (CART): The alternative to the multiple regression and associated techniques or methods for determining subsets of the explanatory variables most significant for prediction of the response variable. Rather than ?tting the model to the sample data, a tree structure is obtained by dividing the sample recursively into the various of sets, each division being chosen so as to maximize some measure of difference in the response variable in the resulting two sets. The resulting structure often gives us the easier interpretation than a regression equation, as those variables most significant for the prediction can be quickly identi?ed. In addition this approach does not need distributional assumptions and is also more resistant to the effects of the outliers. At each stage the sample is divided on the basis of a variable, xi, according to answers to such questions as 'Is xi c' (univariate split), is ' Paixi c' (which is linear function split) and 'does xi A' (if xi is the categorical variable). A design of the application of this method or technique is shown in the figure 35.
The Null Hypothesis - H0: There is autocorrelation The Alternative Hypothesis - H1: There is no autocorrelation Rejection Criteria: Reject H0 (n-s)R 2 > = (1515 - 4) x (0.
Suppose that $4 million is available for investment in three projects. The probability distribution of the net present value earned from each project depends on how much is invest
Introduction to Generalized Linear Models (GLM) We introduce the notion of GLM as an extension of the traditional normal-theory-based linear regression models. This will be very
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
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Post stratification adjustmen t: One of the most often used population weighting adjustments used in the complex surveys, in which weights for the elements in a class are multiplie
The graphic representation of the alternatives in a decision making problem which summarizes all the possibilities foreseen by the decision maker. For instance, suppose we are give
Mendelian randomization is the term applied to the random assortment of alleles at the time of gamete formation, a process which results in the population distributions of genetic
Multitrait multi method model (MTMM) is the form of confirmatory factor analysis model in which the different techniques of measurement are used to measure each of the latent vari
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