Graphics for studying logistic regression models
type: Item
instance of: scholarly article
title: Graphics for studying logistic regression models
zbMATH Open document ID: 1145.62353
DOI: 10.1007/BF02509833
author: Luca Scrucca
published in: Statistical Methods and Applications
publication date: 2005-03-03T00:00:00Z
Mathematics Subject Classification ID: 62J12
Mathematics Subject Classification ID: 62A09
Mathematics Subject Classification ID: 62G07
zbMATH DE Number: 2140466
zbMATH Keywords: logistic regression
zbMATH Keywords: binary response
zbMATH Keywords: log-density ratio
zbMATH Keywords: regression graphics
zbMATH Keywords: kernel density estimate
zbMATH Keywords: conditional QQ-plot
zbMATH Keywords: local likelihood
describes a project that uses: LISP-STAT
describes a project that uses: KernSmooth
describes a project that uses: ARC
MaRDI profile type: Publication
cites work: Robust diagnostic regression analysis
cites work: Q4167890
cites work: Q4365239
cites work: Q5538617
cites work: Q4437934
cites work: On the Interpretation of Regression Plots
cites work: Graphics for Regressions With a Binary Response
cites work: Q4217298
cites work: Dimension Reduction in Binary Response Regression
cites work: Q3678498
cites work: Q4266269
cites work: Q3996151
cites work: Generalized Additive Models: Some Applications
cites work: Best Subsets Logistic Regression
cites work: Transformations of the explanatory variables in the logistic regression model for binary data
cites work: Q3998435
cites work: Q4861400
cites work: An analysis of variance test for normality (complete samples)
cites work: Q4727203
cites work: Q3999500
cites work: A note on the multivariate Box-Cox transformation to normality
cites work: Transformations in Density Estimation
description: scientific article; zbMATH DE number 2140466