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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… Expand
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Papers overview

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Review
2019
Review
2019
Radio waves carry both energy and information simultaneously. Nevertheless, radio-frequency (RF) transmissions of these… Expand
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Review
2018
Review
2018
There has been much recent work on training neural attention models at the sequence-level using either reinforcement learning… Expand
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Highly Cited
2010
Highly Cited
2010
Restricted Boltzmann machines were developed using binary stochastic hidden units. These can be generalized by replacing each… Expand
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Highly Cited
2005
Highly Cited
2005
INTRODUCTION BINOMIAL DATA Challenger Disaster Example Binomial Regression Model Inference Tolerance Distribution Interpreting… Expand
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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… Expand
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Highly Cited
1997
Highly Cited
1997
In the problem of selecting a linear model to approximate the true un- known regression model, some necessary and/or sufficient… Expand
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Highly Cited
1993
Highly Cited
1993
Abstract We consider the problem of selecting a model having the best predictive ability among a class of linear models. The… Expand
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Highly Cited
1992
Highly Cited
1992
PART I THE LOGIC OF HIERARCHICAL LINEAR MODELING Series Editor 's Introduction to Hierarchical Linear Models Series Editor 's… Expand
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Highly Cited
1988
Highly Cited
1988
This textbook on theoretical geodesy deals with the estimation of unknown parameters, the testing of hypothesis and the… Expand
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Highly Cited
1976
Highly Cited
1976
In this book, Franklin A. Graybill integrates the linear statistical model within the context of analysis of variance… Expand
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