Fixed size confidence regions for parameters of a logistic regression model

DOI10.1214/aos/1176348897zbMath0765.62075OpenAlexW1971755976MaRDI QIDQ1208654

Yuan-chin Ivan Chang, Adam T. Martinsek

Publication date: 16 May 1993

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aos/1176348897

zbMATH Keywords

uniform integrabilityasymptotic efficiencylast timestopping rulemarginal distributionlogistic regression modelcovariate vectorsfixed proportional accuracy confidence regionsfixed size confidence set

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Generalized linear models (logistic models) (62J12) Sequential estimation (62L12)

Related Items (13)

On uniform asymptotic normality of sequential least squares estimators for the parameters in a stable AR(\(p\)) ⋮ Estimation in some binary regression models with prescribed accuracy ⋮ Strong consistency of maximum quasi-likelihood estimate in generalized linear models via a last time ⋮ Sequential estimation in variable length computerized adaptive testing. ⋮ Sequential confidence regions of generalized linear models with adaptive designs ⋮ Application of sequential interval estimation to adaptive mastery testing ⋮ Online calibration via variable length computerized adaptive testing ⋮ Fixed size confidence regions for parameters of threshold AR(1) models ⋮ Sequential Estimation in Binary Response Models with Fixed and Random Covariates ⋮ Fixed-width confidence interval based on a minimum Hellinger distance estimator ⋮ Optimal sampling in retrospective logistic regression via two-stage method ⋮ Optimal sequential designs of case-control studies. ⋮ Sequential confidence regions for maximum likelihood estimates.

This page was built for publication: Fixed size confidence regions for parameters of a logistic regression model