Results 251 to 260 of about 328,528 (303)

Facilitating Expedited Drug Approval—the Past, Present, and Future of Clinical Trials for Pediatric Rheumatic Disease

Arthritis Care &Research, EarlyView.
Pamela F. Weiss, Hermine I. Brunner
wiley   +1 more source

GLiM: Generalized linear models [PDF]

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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Use generalized linear models or generalized partially linear models?

Statistics and Computing, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xinmin Li, Haozhe Liang, Wolfgang K. Härdle, Hua Liang   +3 more
openaire   +2 more sources

The General Linear Model

2015
This article provides an introduction into the statistical analysis of neuroimaging data using the general linear model. The analysis allows a flexible use of various models offering a wide range of statistical tests for the analysis of typical neuroimaging experiments. A short introduction to the general linear model is provided using simple examples.
Kiebel, S., Mueller, K. ; https://orcid.org/0000-0001-9613-0552   +1 more
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JACKKNIFING THE GENERAL LINEAR MODEL

Australian Journal of Statistics, 1983
SummaryThe aim of this paper is to investigate the problems of estimating a smooth function of the parameters in a general linear model and to clarify some of the points raised by Hinkley (1977) in connection with this problem. An example of the type of problem at hand is that of estimating the maximum (or minimum) mean value in a quadratic regression ...
Weber, N. C., Welsh, A. H.
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Model Checks for Generalized Linear Models

Scandinavian Journal of Statistics, 2002
In this paper we propose and study non‐parametric tests for the validity of (composite) Generalized Linear Models with a given parametric link structure, which are based on certain empirical processes marked by the residuals. When properly transformed to their innovation part the resulting test statistics are distribution‐free.
Stute, Winfried, Zhu, Li-Xing
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Linear models for keystream generators

IEEE Transactions on Computers, 1996
Consider a keystream generator (KSG) with \(M\) bits of memory. For dimensional reasons, there exists at least one linear function \(L\) of any \(M+1\) consecutive output bits that is not balanced. Under reasonable hypotheses, \(L\) is independent of time, so \(L\) (essentially an \(| M+1| \times 1\) matrix) is a function of the initial state vector ...
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An Introduction to Generalized Linear Models

2008
Continuing to emphasize numerical and graphical methods, An Introduction to Generalized Linear Models, Third Edition provides a cohesive framework for statistical modeling. This new edition of a bestseller has been updated with Stata, R, and WinBUGS code as well as three new chapters on Bayesian analysis. Like its predecessor, this edition presents the
Dobson, Annette J, Barnett, Adrian G
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