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" Quasi-least squares regression "
Justine Shults, University of Pennsylvania, Philadelphia, USA, Joseph M. Hilbe, Jet Propulsion Laboratory, California Institute of Technology, USA and Arizona State University, USA.
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BL
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| Record Number
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734950
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b554785
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| Main Entry
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Justine Shults, University of Pennsylvania, Philadelphia, USA, Joseph M. Hilbe, Jet Propulsion Laboratory, California Institute of Technology, USA and Arizona State University, USA.
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| Title & Author
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Quasi-least squares regression\ Justine Shults, University of Pennsylvania, Philadelphia, USA, Joseph M. Hilbe, Jet Propulsion Laboratory, California Institute of Technology, USA and Arizona State University, USA.
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| Publication Statement
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Boca Raton Taylor & Francis, [2014]
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| Series Statement
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Chapman & Hall/CRC monographs on statistics & applied probability
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| Page. NO
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1
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| ISBN
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1420099949
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: 9781420099942
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| Notes
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A CRC title.
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| Contents
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INTRODUCTION: Introduction. Review of Generalized Linear Models. QUASI-LEAST SQUARES THEORY AND APPLICATIONS: History and Theory of QLS Regression. Mixed Linear Structures and Familial Data. Correlation Structures for Clustered and Longitudinal Data. Analysis of Data with Multiple Sources of Correlation. Correlated Binary Data. Assessing Goodness of Fit and Choice of Correlation Structure for QLS and GEE. Sample Size and Demonstration. Bibliography. Index.
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| Subject
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Least squares.
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Regression analysis -- Mathematical models.
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| Added Entry
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Joseph M Hilbe
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Justine Shults
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