Logistic Regression: Developing a Model for Risk Analysis

  • J. P. Verma


Logistic regression is a useful statistical technique for developing a prediction model for any event that is binary in nature. A binary event can either occur or not occur. It has only two states which may be represented by 1(occurrence) and 0(nonoccurrence). Logistic regression can also be applied in a situation where the dependent variable has more than two classifications. The logistic regression can either be binary or multinomial depending upon whether the dependent variable is classified into two groups or more than two groups, respectively. In this chapter, the discussion shall be made only for binary logistic regression.


Logistic Regression Ordinary Little Square Logistic Model Logistic Function Landslide Susceptibility 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer India 2013

Authors and Affiliations

  1. 1.Research and Advanced StudiesLakshmibai National University of Physical EducationGwaliorIndia

Personalised recommendations