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PESTEL Analysis
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Financial Analysis
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VRIO Analysis
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Case Study Help
Case Study Help – Help with Discriminant Function Analysis Discriminant function analysis (DFA) is a non-linear regression method used for structural modeling of dependent variables by means of function analysis, discrimination (OLS) method. The discriminant function analysis is mainly used in regression analysis when the dependent variable shows non-linear behavior, such as a non-linear regression model is used. In this type of models, there is a linear relationship between the independent variable and one or more explanatory variables (called predictors). The linear relationship between
BCG Matrix Analysis
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Case Study Solution
Today, most of the data analysis, statistical and predictive models of statistical models used in almost all industries worldwide is carried out with the help of the discriminant function analysis. And most of the cases, this type of analysis is used in the development of decision systems and control systems. The problem with discriminant function analysis is that the parameters of the discriminant function are often hard to find or cannot be obtained. To make this problem more comprehensive, in 2005, the researchers from the University of California in Los Angeles,