Linear model

Known as: Linear models 
In statistics, the term linear model is used in different ways according to the context. The most common occurrence is in connection with regression… (More)
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Topic mentions per year

Topic mentions per year

1960-2018
0500100019602018

Papers overview

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Highly Cited
2014
Highly Cited
2014
Permutation methods can provide exact control of false positives and allow the use of non-standard statistics, making only weak… (More)
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Highly Cited
2010
Highly Cited
2010
JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of… (More)
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Highly Cited
2006
Highly Cited
2006
We introduce a path following algorithm for L1-regularized generalized linear models. The L1-regularization procedure is useful… (More)
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Highly Cited
2005
Highly Cited
2005
Introducing a new hobby for other people may inspire them to join with you. Reading, as one of mutual hobby, is considered as the… (More)
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Highly Cited
2005
Highly Cited
2005
This paper proposes an extension of generalized linear models to the analysis of longitudinal data. We introduce a class of… (More)
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Highly Cited
2004
Highly Cited
2004
Statistical parametric maps are spatially extended statistical processes that are used to test hypotheses about regionally… (More)
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Highly Cited
2004
Highly Cited
2004
Recent advances in the statistical theory of hierarchical linear models should enable important breakthroughs in the measurement… (More)
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Highly Cited
2003
Highly Cited
2003
Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal… (More)
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Highly Cited
1998
Highly Cited
1998
Conventional geostatistical methodology solves the problem of predicting the realized value of a linear functional of a Gaussian… (More)
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Highly Cited
1995
Highly Cited
1995
Bring home now the book enPDFd multivariate statistical modelling based on generalized linear models to be your sources when… (More)
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