Results 91 to 100 of about 16,323,319 (157)

Nonparametric estimation of mean and dispersion functions in extended generalized linear models. [PDF]

In this paper the interest is in regression analysis for data that show possibly overdispersion or underdispersion. The starting point for modeling are generalized linear models in which we no longer admit a linear form for the mean regression function ...
Prosdocimi, Ilaria, Claeskens, Gerda, Gijbels, Irène   +2 more
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Generalized linear models

, 2015
AbstractGeneralized Linear Modeling (GLM) unifies several statistical techniques, providing a stable and modular foundation on which to build a useful working knowledge of statistical modeling. GLMs enable a re-interpretation of previously learned ANOVA and regression techniques and integrate well with more advanced modeling techniques introduced in ...
openaire   +5 more sources

EMPIRICAL LIKELIHOOD ESTIMATORS OF THE LINEAR SIMULTANEOUS EQUATIONS MODEL [PDF]

Information theoretic estimators are specified for a system of linear simultaneous equations, including maximum empirical likelihood, maximum empirical exponential likelihood, and maximum log Euclidean likelihood.
Judge, George G., Mittelhammer, Ronald C., Marsh, Thomas L.   +2 more
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Designing experiments for binary data using search algorithms

, 2005
In some experiments in the physical and biological sciences, a binary response is of primary interest and is often described by a generalized linear model.
Lewis, S. M., Woods, D. C.
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MCMC Methods for Multi-Response Generalized Linear Mixed Models: The MCMCglmm R Package [PDF]

Generalized linear mixed models provide a flexible framework for modeling a range of data, although with non-Gaussian response variables the likelihood cannot be obtained in closed form.
Jarrod D. Hadfield
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Continuous optimal designs for generalised linear models under model uncertainty

We propose a general design selection criterion for experiments where a generalised linear model describes the response. The criterion allows for several competing aims, such as parameter estimation and model discrimination, and also for uncertainty in ...
Woods, David C., Lewis, Susan M.
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Precisiones en la teoría de los modelos logísticos

Revista Colombiana de Estadística, 2006
Se estudian los modelos logísticos, como una clase de modelos lineales generalizados (MLG). Se demuestra un teorema sobre la existencia y unicidad de las estimaciones de máxima verosimilitud (abreviadas por ML) de los parámetros logísticos y el método ...
HUMBERTO JESÚS LLINÁS
doaj  

Statistical Analysis of a Generalized Linear Model for Bilateral Correlated Data Under Donner’s Model

Axioms
Paired data often arise in medical studies, with a correlation between responses of paired organs or parts. Under an intra-correlated model, this paper proposes a generalized linear model to investigate probable confounding factors of the individual ...
Jinlong Cheng, Zhiming Li, Keyi Mou
doaj   +1 more source

The Negative Binomial Distribution Efficiency in Finite Mixture of Semi-parametric Generalized Linear Models

پژوهش‌های ریاضی, 2019
Introduction Selection the appropriate statistical model for the response variable is one of the most important problem in the finite mixture of generalized linear models.
Farzad Eskandari
doaj  

Asymptotic Results with Generalized Estimating Equations for Longitudinal data II [PDF]

We consider the marginal models of Liang and Zeger (1986) for the analysis of longitudinal data and we develop a theory of statistical inference for such models.
Ioana Schiopu-Kratina, R. M. Balan
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