This paper focuses the development of the diagnostics for the perturbations of case-weights and explanatory variables (one or more) in a linear logistic regression model. The effect of specific perturbation scheme on the estimation of parameters is also assessed. In addition, the interpretation of the value of curvature diagnostics is highlighted in this paper. This paper also demonstrates and extends the utility of the diagnostics for dichotomous outcome variables. For illustration, a sub-set of the Framingham Heart Study data set is used.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Publisher Info
Paper provided by EconWPA in its series Econometrics with number
0409004.
Length: 13 pages Date of creation: 06 Sep 2004 Date of revision: Handle: RePEc:wpa:wuwpem:0409004
Note: Type of Document - pdf; pages: 13. Suggested citation of this paper is:Hossain, Monzur and Islam, M. Ataharul, 'Application of local influence diagnostics to the linear logistic regression models'. Dhaka University Journal of Science, 51(2): 2003. Contact details of provider: Web page: http://129.3.20.41
For technical questions regarding this item, or to correct its listing, contact: (EconWPA).
Find related papers by JEL classification: C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics C5 - Mathematical and Quantitative Methods - - Econometric Modeling C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
This paper has been announced in the following NEP Reports:
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.: