Discriminant Analysis
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Discriminant Analysis
Discriminant Analysis is a statistical technique used to identify the underlying factors that differentiate between two or more groups or categories. It is a type of supervised learning method that is commonly used in fields such as marketing, psychology, and biology, among others. The goal of Discriminant Analysis is to determine the extent to which a set of predictor variables can be used to classify individuals into pre-defined groups or categories. One of the key aspects of Discriminant Analysis is that it requires a set of predictor variables that are related to the outcome variable or the group membership variable. These predictor variables are typically continuous or categorical in nature, and they are used to create a discriminant function that maximizes the separation between the groups. The discriminant function is then used to predict the group membership of new individuals based on their values on the predictor variables. Another important aspect of Discriminant Analysis is that it assumes that the predictor variables are normally distributed and that the variance-covariance matrices of the predictor variables are equal across the groups. If these assumptions are not met, then alternative methods such as logistic regression or tree-based methods may be more appropriate. In summary, Discriminant Analysis is a statistical technique used to identify the underlying factors that differentiate between two or more groups or categories. It requires a set of predictor variables that are related to the outcome variable and assumes that the predictor variables are normally distributed and that the variance-covariance matrices of the predictor variables are equal across the groups.
multivariate, classification, supervised learning, predictor variables, discriminant function
Discriminant Analysis
Discriminant Analysis is a multivariate statistical technique used to classify or predict a variable based on its association with a set of predictor variables. It is often used in the field of marketing and public relations, as it can be used to distinguish between target consumers and other population segments. Discriminant Analysis helps to identify those segments of the population that have the most potential for a given product or service, by distinguishing the target population from non-target population with the help of multiple measurements. Lawrence and Giles (1968) introduced the concept of Discriminant Analysis in the field of marketing, while other important works include Green and Srinivasan (1978) and Hanssens and Parsons (1985).
Discriminant Analysis, Multivariate Statistics, Classification, Predictive Variable, Target Consumers, Lawrence Giles, Green Srinivasan, Hanssens Parsons.
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