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MathematicsThe exponential dispersion model (EDM) generated by the Landau distribution, denoted by EDM-EVF (exponential variance function), belongs to the Tweedie scale with power infinity. Its density function does not have an explicit form and, as of yet, has not been used for statistical aspects.
A A N Ridder, Xu Liu
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Geomatics, Natural Hazards and Risk, 2023 AbstractIn this study, the generalized linear model (GLM) and four ensemble methods (partial least squares (PLS), boosting, bagging, and Bayesian) were applied to predict forest fire hazard in the Chalus Rood watershed in the Mazandaran Province, Iran. Data from 108 historical forest fire events collected through field surveys were applied as the basis
Jungho Im +2 more
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Bagging GLM: Improved generalized linear model for the analysis of zero-inflated data
Ecological Informatics, 2011 Abstract Species-occurrence data sets tend to contain a large proportion of zero values, i.e., absence values (zero-inflated). Statistical inference using such data sets is likely to be inefficient or lead to incorrect conclusions unless the data are treated carefully. In this study, we propose a new modeling method to overcome the problems caused by
Atushi Ushimaru, Takeshi Osawa
exaly +3 more sources
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GLM+: An Efficient System for Generalized Linear Models
2018 IEEE International Conference on Big Data and Smart Computing (BigComp), 2018Generalized linear models are widely used in data analysis and machine learning, especially in large-scale machine learning because of its simplicity and good performance. Generalized linear models include regression, like linear regression, lasso and classification, support vector machine and logistic regression.
Lele Yu +4 more
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Generalized Linear Models (GLM)
2021Abstract Chapter 7 introduces one of the most useful statistical frameworks for the modern life scientist: the generalized linear model (GLM). GLMs extend the linear model to an array of non-normally distributed data such as Poisson, negative binomial, binomial, and Gamma distributed data. These models dramatically improve the breadth of
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Generalized Linear Models (GLMs)
2019Generalized Linear Models are widely known under their famous acronym GLMs. Today, GLMs are recognized as an industry standard for pricing personal lines and small commercial lines of insurance business. This chapter reviews the GLM methodology with a special emphasis to insurance problems.
Michel Denuit +2 more
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Using Generalized Linear Models (GLMs) to Model Errors in Motor Performance
Journal of Motor Behavior, 1991Because of differences in design factors, experiments in human motor performance sometimes produce a wide range in variability or consistency in a subject's individual errors. These differences in variation often lead to heterogeneity in the variance-covariance matrices between group factors, which prohibits the use of repeated-measures (RM) ANOVA or ...
A M, Nevill, J B, Copas
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African Journal of Applied Statistics, 2023
Generalized Linear Models (GLMs) provide a unified approach that encompasses most of the linear models. However, they could not been properly used in agricultural sciences. In this review, we (1) examined the correctness related to the application of GLMs to agricultural sciences; and (2) provided a guideline for their suitable use.
Paulette Béhanzin Guédézoumè +2 more
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Generalized Linear Models (GLMs) provide a unified approach that encompasses most of the linear models. However, they could not been properly used in agricultural sciences. In this review, we (1) examined the correctness related to the application of GLMs to agricultural sciences; and (2) provided a guideline for their suitable use.
Paulette Béhanzin Guédézoumè +2 more
openaire +1 more source