Regression modeling: methods, theory, and computation with SAS

Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques using SAS to solve a wide variety of regression problems. The author fully documents the SAS programs and thoroughly explains the output produced by the programs.T...

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Detalles Bibliográficos
Autor principal: Panik, Michael
Lenguaje:eng
Publicado: Taylor and Francis 2009
Materias:
Mathematical Physics and Mathematics
Acceso en línea:http://cds.cern.ch/record/1986723
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author Panik, Michael
author_facet Panik, Michael
author_sort Panik, Michael
collection CERN
description Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques using SAS to solve a wide variety of regression problems. The author fully documents the SAS programs and thoroughly explains the output produced by the programs.The text presents the popular ordinary least squares (OLS) approach before introducing many alternative regression methods. It covers nonparametric regression, logistic regression (including Poisson regression), Bayesian regression, robust regression, fuzzy regression, random coefficients regression,
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2009
publisher Taylor and Francis
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spelling cern-19867232021-04-21T20:35:07Zhttp://cds.cern.ch/record/1986723engPanik, MichaelRegression modeling: methods, theory, and computation with SASMathematical Physics and Mathematics Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques using SAS to solve a wide variety of regression problems. The author fully documents the SAS programs and thoroughly explains the output produced by the programs.The text presents the popular ordinary least squares (OLS) approach before introducing many alternative regression methods. It covers nonparametric regression, logistic regression (including Poisson regression), Bayesian regression, robust regression, fuzzy regression, random coefficients regression,Taylor and Francisoai:cds.cern.ch:19867232009
spellingShingle Mathematical Physics and Mathematics
Panik, Michael
Regression modeling: methods, theory, and computation with SAS
title Regression modeling: methods, theory, and computation with SAS
title_full Regression modeling: methods, theory, and computation with SAS
title_fullStr Regression modeling: methods, theory, and computation with SAS
title_full_unstemmed Regression modeling: methods, theory, and computation with SAS
title_short Regression modeling: methods, theory, and computation with SAS
title_sort regression modeling: methods, theory, and computation with sas
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/1986723
work_keys_str_mv AT panikmichael regressionmodelingmethodstheoryandcomputationwithsas

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