Regularization Paths for Generalized Linear Models via Coordinate Descent [PDF]
We develop fast algorithms for estimation of generalized linear models with convex penalties. The models include linear regression, two-class logistic regression, and multi- nomial regression problems while the penalties include âÂÂ_1 (the lasso), à ...
Trevor Hastie +2 more
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Hierarchical Generalized Linear Models: The R Package HGLMMM [PDF]
The R package HGLMMM has been developed to fit generalized linear models with random effects using the h-likelihood approach. The response variable is allowed to follow a binomial, Poisson, Gaussian or gamma distribution.
Marek Molas, Emmanuel Lesaffre
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Using generalized estimating equations with regression splines to improve analysis of butterfly transect data [PDF]
, 2008 Surveying animal populations is an important aspect of wildlife management. Distinguishing trend from random fluctuations and quantifying trend are key goals in any analysis.
Brewer, Ciara
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Generalized single-index models: The EFM approach [PDF]
Generalized single-index models are natural extensions of linear models and circumvent the so-called curse of dimensionality. They are becoming increasingly popular in many scientific fields including biostatistics, medicine, economics and finan- cial ...
Xia Cui +2 more
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"A regression error specification test (RESET) for generalized linear models". [PDF]
Generalized linear models (GLMs) are generalizations of linear regression models, which allow fitting regression models to response data that follow a general exponential family.
Sunil Sapra
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Evaluation of oriental beech (Fagus orientalis L.) site productivity using generalized additive model (Case study: Tarbiat Modares University Forest Research Station) [PDF]
مجله جنگل ایران, 2015 Site productivity is a key indicator of forest ecosystem; therefore it is an important criterion for forest manager for estimating the yield, annual exploitation and growth, and choosing the most suitable tree species for sites as well.
doaj
Generalized quadraticity of linear combination of two generalized quadratic matrices
, 2015 It is investigated the necessary and sufficient conditions for the generalized quadraticity of a linear combination of any two generalized quadratic matrices.
Petik, Tuğba, Özdemir, Halim
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A variance shilf model for outlier detection and estimation in linear and linear mixed models [PDF]
, 2008 Includes abstract.Includes bibliographical references.Outliers are data observations that fall outside the usual conditional ranges of the response data.They are common in experimental research data, for example, due to transcription errors or faulty ...
Gumedze, Freedom Nkhululeko
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Drought forecasting with regionalization of climate variables and generalized linear model
Meteorological ApplicationsSpring drought forecasting is essential in South Korea for managing water resources reliably and cultivating agricultural products efficiently, as seasonal rainfall difference often drives water shortage during spring.
Taesam Lee +3 more
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Negative Binomial Two-Parameter Lindley generalized linear model for modeling count data
Research in StatisticsZero-inflated data, characterized by excessive zero counts, is a common challenge in various fields, particularly in insurance data. In most cases, count data exhibits overdispersion and excess zeros; models that fail to account for these characteristics
Samwel Karanja Kamau +3 more
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