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Article citations


Hilbe, J.M. (2009) Logistic Regression Model. Chapman and Hall, New York.

has been cited by the following article:

  • TITLE: Asymptomatic Distribution of Goodness-of-Fit Tests in Logistic Regression Model

    AUTHORS: Nuri H. Salem Badi

    KEYWORDS: Logistic Regression Model, Goodness-of-Fit Tests

    JOURNAL NAME: Open Journal of Statistics, Vol.7 No.3, June 12, 2017

    ABSTRACT: The logistic regression model has been become commonly used to study the association between a binary response variable; it is widespread application rests on its easy application and interpretation. The subject of assessment of goodness-of-fit in logistic regression model has attracted the attention of many scientists and researchers. Goodness-of-fit tests are methods to determine the suitability of the fitted model. Many of methods proposed and discussed for assessing goodness-of fit in logistic regression model, however, the asymptotic distribution of goodness-of-fit statistics are less examine, it is need more investigated. This work, will focus on assessing the behavior of asymptotic distribution of goodness-of-fit tests, also make comparison between global goodness-of-fit tests, and evaluate it by simulation.