Logistic Discrimination and Bias Correction in Maximum Likelihood Estimation
From MaRDI portal
Publication:4184079
DOI10.2307/1268582zbMath0399.62028OpenAlexW4241502669MaRDI QIDQ4184079
S. C. Richardson, John Anthony Anderson
Publication date: 1979
Full work available at URL: https://doi.org/10.2307/1268582
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Point estimation (62F10)
Related Items (20)
on the second-order bias of parameter estimates in nonlinear regression models with studentterrors ⋮ Asymptotic properties of a double penalized maximum likelihood estimator in logistic regres\-sion ⋮ Dealing with separation or near-to-separation in the model for multinomial response with application to childhood health seeking behavior data from a complex survey ⋮ Analysis of overfitting in the regularized Cox model ⋮ On the small sample properties of norm-restricted maximum likelihood estimators for logistic regression models ⋮ Bias correction for a class of multivariate nonlinear regression models ⋮ Discrimination and classification: Overview ⋮ Two-step jackknife bias reduction for logistic regression mles ⋮ Bias correction of AIC in logistic regression models ⋮ Bias‐reduced estimators of conditional odds ratios in matched case‐control studies with unmatched confounding ⋮ Reducing bias and mean squared error associated with regression-based odds ratio estimators ⋮ Multiple group logistic discrimination ⋮ BIAS in linear regression models with unknown covariance matrix ⋮ Bias correction in the cox regression model ⋮ A predictive deviance criterion for selecting a generative model in semi-supervised classification ⋮ On latent trait estimation in multidimensional compensatory item response models ⋮ Improved point estimation for inverse gamma regression models ⋮ Quantifying the Impact of Unobserved Heterogeneity on Inference from the Logistic Model ⋮ Replica analysis of overfitting in generalized linear regression models ⋮ A modified score function estimator for multinomial logistic regression in small samples.
This page was built for publication: Logistic Discrimination and Bias Correction in Maximum Likelihood Estimation