On modified skew logistic regression model and its applications
C. Satheesh Kumar () and
L. Manju ()
Additional contact information
C. Satheesh Kumar: University of Kerala - India
L. Manju: Sree Gokulam Medical College, Trivandrum - India
Statistica, 2015, vol. 75, issue 4, 361-377
Abstract:
Here we consider a modi?ed form of the logistic regression model useful for situations where the dependent variable is dichotomous in nature and the explanatory variables exhibit asymmetric and multimodal behaviour. The proposed model has been ?tted to some real life data set by using method of maximum likelihood estimation and illustrated its usefulness in certain medical applications.
Keywords: Logistic regression; Maximum likelihood estimation; Asymmetric distributions; Multimodality (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bot:rivsta:v:75:y:2015:i:4:p:361-377
Access Statistics for this article
Statistica is currently edited by Department of Statistics, University of Bologna
More articles in Statistica from Department of Statistics, University of Bologna Contact information at EDIRC.
Bibliographic data for series maintained by Giovanna Galatà ().