Search for "Generalized linear models" in article titles:

1. Generalized linear models: $ \newcommand{\bfx}{\boldmath{$x$}} $ $ \newcommand{\bfw}{\boldmath{$w$}} $ $ \newcommand{\txtbinom}{\Big(\!\!\begin{array}{c} {\rm \rm #1} \\ \mbox {\rm #2} \end{array}\!\!\Big)} $ $ \newcommand{\bi}{\Big( \!\! \begin{array}{c} #1 \\ #2 \end{array} \!\!\Big)} $ $ \newcommand{\fracc}{{\rm \small$\displaystyle\frac ... (Mathematics) [100%] 2023-12-29 [Statprob]
2. Comparison of general and generalized linear models: References * McCullagh, Peter; Nelder, John (1989). [65%] 2023-06-22 [Generalized linear models]

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1. Generalized linear model: The website statsoft.com offers this explanation of the generalized linear model: "The Generalized Linear Model (GLZ) is a generalization of the general linear model (see, e.g., the General Linear Models, Multiple Regression, and ANOVA/MANOVA topics). In its ... [94%] 2023-02-27 [Statistics]
2. Generalized linear model: In statistics, a generalized linear model (GLM) is a flexible generalization of ordinary linear regression. The GLM generalizes linear regression by allowing the linear model to be related to the response variable via a link function and by allowing the ... (Class of statistical models) [94%] 2024-06-12 [Actuarial science] [Generalized linear models]...
3. Hierarchical generalized linear model: In statistics, hierarchical generalized linear models extend generalized linear models by relaxing the assumption that error components are independent. This allows models to be built in situations where more than one error term is necessary and also allows for dependencies ... [81%] 2023-11-24 [Regression models] [Generalized linear models]...
4. Generalized functional linear model: The generalized functional linear model (GFLM) is an extension of the generalized linear model (GLM) that allows one to regress univariate responses of various types (continuous or discrete) on functional predictors, which are mostly random trajectories generated by a square ... (Mathematical model for stochastic processes) [81%] 2023-12-28 [Generalized linear models]
5. Generalized functional linear model: The generalized functional linear model (GFLM) is an extension of the generalized linear model (GLM) that allows one to regress univariate responses of various types (continuous or discrete) on functional predictors, which are mostly random trajectories generated by a square ... (Mathematical model for stochastic processes) [81%] 2023-12-30 [Generalized linear models]
6. Vector generalized linear model: In statistics, the class of vector generalized linear models (VGLMs) was proposed to enlarge the scope of models catered for by generalized linear models (GLMs). In particular, VGLMs allow for response variables outside the classical exponential family and for more ... [81%] 2023-12-28 [Actuarial science] [Generalized linear models]...
7. Generalized linear array model: In statistics, the generalized linear array model (GLAM) is used for analyzing data sets with array structures. It based on the generalized linear model with the design matrix written as a Kronecker product. [81%] 2024-03-31 [Regression models] [Generalized linear models]...
8. Linear model: Linear models and linear comparisons are statistical methods for comparing how well different models match a given set of data. It is usually written as: In the comparison two different models will be matched to the data, contains the size ... [70%] 2023-02-10 [Probability and Statistics]
9. Generalized Maxwell model: The Generalized Maxwell model also known as the Maxwell–Wiechert model (after James Clerk Maxwell and E Wiechert) is the most general form of the linear model for viscoelasticity. In this model several Maxwell elements are assembled in parallel. (Physics) [59%] 2023-09-03 [Materials science] [Non-Newtonian fluids]...
10. Generalized additive model: In statistics, a generalized additive model (GAM) is a generalized linear model in which the linear response variable depends linearly on unknown smooth functions of some predictor variables, and interest focuses on inference about these smooth functions. GAMs were originally ... (Statistics models class) [59%] 2022-08-17 [Generalized linear models] [Nonparametric regression]...
11. Linear (Hong Kong): Linear blocks (Chinese: 相連長型大廈) are a design of public housing blocks. It is divided into Linear 1, 2 (never built), 3, Linear L, and L2. (Hong Kong) [59%] 2023-10-24 [Urban planning]
12. LINEAR (アルバム): 『LINEAR』（リニア）は、日本のバンド、ストレイテナーのメジャー4枚目のオリジナルアルバムである。2007年3月7日発売。発売元は東芝EMI。. (アルバム) [59%] 2025-05-01 [2007年のアルバム] [ストレイテナーのアルバム]...
13. General linear model: According to Minitab Incorporated. [57%] 2023-02-23 [Statistics]
14. Linear transform model: The linear transform model refers to a fundamental assumption guiding the analysis of functional Magnetic Resonance Imaging (fMRI) studies. Specifically, the model holds that the fMRI signal is approximately proportional to a measure of local neural activity, averaged over a ... [57%] 2023-12-30 [Magnetic resonance imaging] [Medical tests]...
15. Proper linear model: In statistics, a proper linear model is a linear regression model in which the weights given to the predictor variables are chosen in such a way as to optimize the relationship between the prediction and the criterion. Simple regression analysis ... [57%] 2023-12-28 [Regression models]
16. Proper linear model: In statistics, a proper linear model is a linear regression model in which the weights given to the predictor variables are chosen in such a way as to optimize the relationship between the prediction and the criterion. Simple regression analysis ... [57%] 2023-12-28 [Regression models]
17. Linear probability model: In statistics, a linear probability model (LPM) is a special case of a binary regression model. Here the dependent variable for each observation takes values which are either 0 or 1. [57%] 2023-12-30 [Generalized linear models]
18. Linear mixed model: $ \newcommand{\yi}{\bm{y_i}} $ $ \def\bm#1{\mathbf{#1}} $ $ \newcommand{\bi}{\bm{b_i}} $ Linear Mixed Model Geert Molenberghs I-BioStat, Universiteit Hasselt & Katholieke Universiteit Leuven, Belgium. In many studies, data are collected hierarchically. (Mathematics) [57%] 2023-12-28 [Statprob]