Joint Estimation of the Mean and Error Distribution in Generalized Linear Models
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Publication:4975342
DOI10.1080/01621459.2013.824892zbMath1367.62227OpenAlexW2059825282MaRDI QIDQ4975342
Publication date: 4 August 2017
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/01621459.2013.824892
Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Generalized linear models (logistic models) (62J12)
Related Items (6)
On Stratified Density Ratio Models ⋮ Joint regression analysis of mixed-type outcome data via efficient scores ⋮ Smooth tests of goodness of fit for the distributional assumption of regression models ⋮ Joint Semiparametric Models for Case-Cohort Designs ⋮ Density ratio model for multivariate outcomes ⋮ Most Likely Transformations
Cites Work
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- A Covariance Estimator for GEE with Improved Small‐Sample Properties
- Small-Sample Adjustments for Wald-Type Tests Using Sandwich Estimators
- Proportional likelihood ratio models for mean regression
- Point estimation with exponentially tilted empirical likelihood
- Large sample theory of empirical distributions in biased sampling models
- A Glivenko-Cantelli theorem for empirical measures of independent but non-identically distributed random variables
- Empirical likelihood and general estimating equations
- Large sample theory of maximum likelihood estimates in semiparametric biased sampling models.
- Weak convergence and empirical processes. With applications to statistics
- A proportional likelihood ratio model
- Inferences for case-control and semiparametric two-sample density ratio models
- INTERPRETATION OF THE QUASI-LIKELIHOOD VIA THE TILTED EXPONENTIAL FAMILY
- A Note on the Efficiency of Sandwich Covariance Matrix Estimation
- A Semiparametric Approach to the One-Way Layout
- Semiparametric mixtures in case-control studies
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