Generalized linear models logistic models

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The breakdown behavior of the maximum likelihood estimator in the logistic regression model. [PDF]

In this note we discuss the breakdown behavior of the maximum likelihood (ML) estimator in the logistic regression model. We formally prove that the ML-estimator never explodes to infinity, but rather breaks down to zero when adding severe outliers to a ...
Croux, Christophe, Flandre, C, Haesbroeck, G +2 more
core

Generalized Half-Logistic Distribution Using Linear Regression Model

Mathematics and Statistics, 2023
Ahmed Al-Adilee, Wasan Al-Shemmari
openaire +1 more source

PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference

, 2017
Generalized linear models (GLMs) -- such as logistic regression, Poisson regression, and robust regression -- provide interpretable models for diverse data types.
Adams, Ryan P. +2 more
core

Insurance: an R-Program to Model Insurance Data [PDF]

Data sets from car insurance companies often have a high-dimensional complex dependency structure. The use of classical statistical methods such as generalized linear models or Tweedie?s compound Poisson model can yield problems in this case. Christmann (
Christmann, Andreas, Marin-Galiano, Marcos +1 more
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Frontier Techniques: Contrasting the Performance of (Single-) Truncated Order Regression Methods and Replicated Moments [PDF]

This research contrasts three econometric alternatives for stochastic efficiency frontier analysis: order – inter-quantile – and inverse order regression under the assumption of truncated error term distribution, and replicated moment estimation.
Ana Paula Martins
core

Survival models (in Russian) [PDF]

This essay is an introduction to survival models in the context of generalized linear models. We introduce the hazard and survival functions and describe the most common censoring mechanisms and the resulting likelihood function.
German Rodriguez
core

From Linear Geometry to Nonlinear and Information-Geometric Settings in Test Theory: Bregman Projections as a Unifying Framework. [PDF]

Educ Psychol Meas
Zumbo BD.
europepmc +1 more source

Prediction of Smartphone Addiction Among Korean Adolescents Based on Physical Activity and Mental Health: A Machine Learning Analysis Using LASSO and SHAP From the Korea Youth Risk Behavior Survey. [PDF]

Alpha Psychiatry
Lee K, Seo W, Jung SY.
europepmc +1 more source

Comparison of Estimate Methods of Multiple Linear Regression Model with Auto-Correlated Errors when the Error Distributed with General Logistic [PDF]