Results 151 to 160 of about 6,291 (198)
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The Delta Algorithm and GLIM

International Statistical Review / Revue Internationale de Statistique, 1984
A general maximum likelihood algorithm, called the delta algorithm, which generalizes Fisher's scoring method and several other existing algorithms, is introduced. The algorithm is derived as a modification of the Newton-Raphson algorithm, and may be interpreted as an iterative weighted least squares method.
Bent Jørgensen, Bent Jorgensen
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Applications of GLIM

1993
Abstract This chapter of the Modelling Guide is intended to give a set of more or less complete analyses covering a range of practical problems for which GLIM is useful. The examples are also intended to convey how the various facilities of GLIM, especially the high-resolution graphics, may be used with practical problems, and to ...
Tony Swan   +8 more
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The Glim System

1993
Abstract This manual describes how GLIM 4 may be used for statistical analysis in its most general sense, including data manipulation and display, model fitting, and prediction. This is a thorough re-working of the previous GLIM manual to take account of updates to the software - essential reading for all research statisticians ...
Tony Swan   +8 more
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GLIM 3.77

1985
A new release of the GLIM program, GLIM 3–77, is described. Modifications and extensions to the previous release are given.
Clive Payne, Janet Webb
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MÉTODO GLIM PARA DIAGNÓSTICO DE DESNUTRIÇÃO E SEUS DESFECHOS GLIM

Revista Ibero-Americana de Humanidades, Ciências e Educação, 2023
Introdução: A definição da desnutrição é decorrida pela deficiência de nutrientes, causando alterações na composição corporal. Objetivo: Executar a ferramenta GLIM para desnutrição e observar os desfechos. Metodologia: A presente pesquisa determinada como quantitativo, prospectivo e transversal, onde a população do estudo foram os participantes ...
Tânia Apodaca Gomes   +1 more
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GLiM: Generalized linear models

Encyclopedia with Semantic Computing and Robotic Intelligence, 2017
Much was written on generalized linear models. The reader is referred to the following books: P. McCullagh and J. A. Nelder, Generalized Linear Models, 2nd edn. (Chapman & Hall, 1989); A. J. Dobson and A. Barnett, An Introduction to Generalized Linear Models, 3 (Chapman & Hall, 2008); C. E. McCulloch and S. R.
Joseph R. Barr, Shelemyahu Zacks
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Laser scanning GLIM (LS-GLIM) for label-free imaging of turbid samples

Quantitative Phase Imaging VII, 2021
We propose a multimodal imaging system, LS-GLIM, consisting of the light scanning microscope (LSM 900, Zeiss) and the gradient light interference microscope (GLIM) module [1], with photomultiplier tube (PMT) detection. GLIM upgrades a differential interference microscope with a liquid crystal variable retarder (LCVR), which introduces further ...
Xi Chen   +7 more
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Introduction to glim

1993
Abstract GLIM is an acronym for Generalized Linear Interactive Modelling. It is a program specially designed to facilitate the fitting of generalized linear models (GLMs). Here we give a brief introduction to the data types handled by GLIM and to the types of statistical model which can be fitted.
Tony Swan   +8 more
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The glim language

1993
Abstract This chapter outlines the basic components of the GLIM language and introduces the general syntax and mode of use of the package. GLIM statements are composed of characters from the GLIM character set, which is listed in the Reference Guide [13.1].
Tony Swan   +8 more
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Approximating point process likelihoods with GLIM.

Insurance: Mathematics and Economics, 1992
Summary: This paper shows how approximate maximum likelihood estimation for fairly general point processes on the line can be performed with GLIM. The approximation is based on a weighted sum approximation to an integral in the likelihood. Various weighting schemes are briefly examined.
Berman, M., Turner, T. R.
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