Results 71 to 80 of about 16,323,319 (157)
Holistic Generalized Linear Models
Journal of Statistical Software34 pages, 2 figures, 4 ...
Benjamin Schwendinger +2 more
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Robust Bayesian general linear models
NeuroImage, 2007 We describe a Bayesian learning algorithm for Robust General Linear Models (RGLMs). The noise is modeled as a Mixture of Gaussians rather than the usual single Gaussian. This allows different data points to be associated with different noise levels and effectively provides a robust estimation of regression coefficients.
Will D. Penny +2 more
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, 2014 Tujuan utama dari analisis regresi adalah menduga parameter yang tidak diketahui dalam model. Tiga metode estimasi populer yang banyak digunakan adalah kuadrat terkecil (Least-Squares) dan likelihood maksimum (Maximumum Likelihood) dan metode momen ...
ESTIMASI PARAMETER PADA STANDARD CAPM (CAPITAL ASSETS PRICING MODEL) DENGAN METODE GMM (GENERALIZED METHOD OF MOMENTS)
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Estimation of the Contaminant Risk Level of Petroleum Residues Applying FDA Techniques
Latin-American Journal of Computing, 2017 In the process of oil extraction, specifically in therefinement and industrialization of hydrocarbons, as is known,multiple wastes are highly polluting for the soil, water and air.In this work, the risk level of these wastes in affected areasis estimated
Miguel Flores +3 more
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Robust Inference in Generalized Linear Models
Communications in Statistics - Simulation and Computation, 2016 Robust inference on the parameters in generalized linear models is performed using the weighted likelihood method. Two cases are considered: a case with replicated observations and a case with a single observation of the dependent variable for each combination of the explanatory variables.
Alqallaf, Fatemah, Agostinelli, Claudio
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L_2 Differentiability of Generalized Linear Models
Statistics & Probability Letters, 2014 10 ...
Pupashenko, Daria +2 more
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Leaf count overdispersion in coffee seedlings
Ciência Rural, 2019 : Coffee crops play an important role in Brazilian agriculture, with a high level of social and economic participation resulting from the jobs created in the supply chain and from the income obtained by producers and the revenue generated for the ...
Edilson Marcelino Silva +4 more
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A General Bayesian Linear Model
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1973 Summary Lindley and Smith (1972), using a hierarchical form of prior structure, derived Bayesian alternatives to least squares estimates for the linear model. This paper examines the Bayesian model in more detail and notes some general properties of the resulting estimators.
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, 2013 RINGKASAN Pengaruh Varian Efek Acak Terhadap Pengestimasian Efek Tetap dalam Model Poisson-Gamma pada HGLM (Hierarchical Generalized Linear Model); Siskha Kusumaningtyas; 2013; 50 Halaman; Jurusan Matematika Fakultas Matematika dan Ilmu ...
Siskha Kusumaningtyas
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RisksThe study compares model approaches in predictive modeling for claim frequency and severity within the cross-border cargo insurance domain. The aim is to identify the optimal model approach between generalized linear models (GLMs) and advanced machine ...
Praiya Panjee, Sataporn Amornsawadwatana
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