An application of logistic regression in estimation and prediction. | [Pakistan Journal of Statistics • 2004]

Author(s):

1. Herbert C. Heien: Department of Mathematics and Statistics Minnesota State University, Mankato, MN 56002, USA

2. William A. Baumann: Department of Mathematics and Statistics Minnesota State University, Mankato, MN 56002, USA

3. Mezbahur Rahman: Department of Mathematics and Statistics Minnesota State University, Mankato, MN 56002, USA

Abstract:

Logistic regression is used in categorical response variable models. The explanatory variables could be categorical or in a continuous scale. Often, parameters are estimated and goodness-of-fit are studied in logistic models, but the ultimate usefulness of a logistic model depends on the prediction rule of the categorical response. Here all found aspects of the logistic regression using a data set were revisited. The four aspects are parameter estimation, goodness-of-fit of the model, prediction rule, and marginal effect of the factors.

Page(s): 37-47

DOI: DOI not available

Published: Journal: Pakistan Journal of Statistics, Volume: 20, Issue: 1, Year: 2004

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