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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...

In statistics, a generalized linear model (GLM) is a flexible generalization of ordinary linear regression. The GLM generalizes linear regression by allowing...

in linear regression, including variants for ordinary (unweighted), weighted, and generalized (correlated) residuals. Numerical methods for linear least...

county of Wales and formerly used as a postal abbreviation. Generalized linear array model, 2006, in statistics Glam metal, 1970s, a subgenre of heavy...

Generalized inverse Gaussian distribution Generalized least squares Generalized linear array model Generalized linear mixed model Generalized linear model...

popular Natural Language Processing models, and hypergraph models of similarity, Generalized linear array model in statistics Two- and multidimensional...

\mathbf {c} } and d {\displaystyle \mathbf {d} } are vectors. Generalized linear array model Hadamard product (matrices) Kronecker coefficient Weisstein...

languages that support array programming (also known as vector or multidimensional languages) have been engineered specifically to generalize operations on scalars...

the case of a linear forward map and when we deal with a finite number of model parameters, the forward map can be written as a linear system d = F p...

application of linear algebra to function spaces. Linear algebra is also used in most sciences and fields of engineering, because it allows modeling many natural...

related to linear-nonlinear-Poisson cascade models (also called Generalized Linear Model). The estimation of parameters of probabilistic neuron models such...

discriminate between the fixed and the random effects models. Consider the linear unobserved effects model for N {\displaystyle N} observations and T {\displaystyle...

In computer science, an associative array, map, symbol table, or dictionary is an abstract data type that stores a collection of (key, value) pairs, such...

generalized to Latin cubes and hypercubes, and orthogonal Latin cubes and hypercubes by Kishen (1942). Rao (1946) generalized these results to arrays...

can often be approximated by a linear system (see linearization), a helpful technique when making a mathematical model or computer simulation of a relatively...

phased arrays were developed at the University of Cambridge Interplanetary Scintillation Array. This design is also used for radar, and is generalized in...

the number of elements in the array. Binary search is faster than linear search except for small arrays. However, the array must be sorted first to be able...

robustness. Given a linear time-invariant (LTI) system represented by a nonsingular matrix G {\displaystyle \mathrm {G} } , the relative gain array (RGA) is defined...

produce a derived linear model, very similar to the textbook model discussed previously. The test statistics of this derived linear model are closely approximated...

generalizes to higher-dimensional Euclidean spaces if the line is replaced by a hyperplane. The problem of determining if a pair of sets is linearly separable...