Large sample convergence diagnostics for likelihood based inference: logistic regression

DOI10.1016/j.stamet.2016.08.001zbMath1487.62088OpenAlexW2512387737WikidataQ58012636 ScholiaQ58012636MaRDI QIDQ670173

Michael Brimacombe

Publication date: 18 March 2019

Published in: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.stamet.2016.08.001

zbMATH Keywords

nonlinear modelslogistic regressionconditional distributiondirectional distributionlikelihood diagnostics

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12) Diagnostics, and linear inference and regression (62J20)

Uses Software

• BayesDA

Cites Work

• Best Subsets Logistic Regression
• Judging Inference Adequacy in Logistic Regression
• Computational Experience with Confidence Regions and Confidence Intervals for Nonlinear Least Squares
• Wald's Test as Applied to Hypotheses in Logit Analysis
• Assessing multivariate nonnormality using univariate distributions
• Assessing the Accuracy of Normal Approximations
• Bayesian Analysis of Binary and Polychotomous Response Data
• THE ESTIMATION FROM INDIVIDUAL RECORDS OF THE RELATIONSHIP BETWEEN DOSE AND QUANTAL RESPONSE
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Large sample convergence diagnostics for likelihood based inference: logistic regression