Ramon C Littell SAS for Mixed Models

ISBN 13: 9781590475003

SAS for Mixed Models

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9781590475003: SAS for Mixed Models
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Reseña del editor:

The indispensable, up-to-date guide to mixed models using SAS. Discover the latest capabilities available for a variety of applications featuring the MIXED, GLIMMIX, and NLMIXED procedures in SAS for Mixed Models, Second Edition, the comprehensive mixed models guide for data analysis, completely revised and updated for SAS 9 by authors Ramon Littell, George Milliken, Walter Stroup, Russell Wolfinger, and Oliver Schabenberger. The theory underlying the models, the forms of the models for various applications, and a wealth of examples from different fields of study are integrated in the discussions of these models: random effect only and random coefficients models; split-plot, multilocation, and repeated measures models; hierarchical models with nested random effects; analysis of covariance models; spatial correlation models; generalized linear mixed models; and nonlinear mixed models.

Professionals and students with a background in two-way ANOVA and regression and a basic knowledge of linear models and matrix algebra will benefit from the topics covered.

Biografía del autor:

Ramon C. Littell, Ph.D., Professor of Statistics at the University of Florida, is the coauthor of several books, including SAS System for Regression, Third Edition, and SAS for Linear Models, Fourth Edition. He has worked with SAS software since 1986.

George A. Milliken, Ph.D., Professor of Statistics at Kansas State University, has been using SAS software since 1974 and has extensive experience with the design and analysis of experiments using mixed models by incorporating the GLM, MIXED, GLIMMIX, and NLMIXED procedures.

Walter W. Stroup, Ph.D., Professor and Chair of the Department of Statistics at the University of Nebraska, is the coauthor of SAS for Linear Models, Fourth Edition. He has been using SAS software since 1981.

Russell D. Wolfinger, Ph.D., is the Director of Scientific Discovery and Genomics at SAS Institute, where he has worked since 1989. Before leading SAS scientific efforts, he authored the MIXED, MULTTEST, KDE, and NLMIXED procedures in SAS/STAT.

Oliver Schabenberger, Ph.D., is a Senior Research Statistician at SAS Institute and has been using SAS software since 1991. He maintains and develops mixed model software and is the author of the GLIMMIX procedure.

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Littell, Ramon C
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Littell, Ph.D., Russell C.; Milliken, Ph.D., George A.; Stroup, Ph.D., Walter W.; Wolfinger, Ph.D., Russell D.; Schabenberger, Ph.D., Oliver
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Littell Ph.D., Ramon C.
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Ph D Ramon C Littell, Ph D George a Milliken, Ph D Walter W Stroup
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Descripción SAS Institute, United States, 2006. Paperback. Condición: New. 2nd ed.. Language: English . Brand New Book ***** Print on Demand *****. The indispensable, up-to-date guide to mixed models using SAS. Discover the latest capabilities available for a variety of applications featuring the MIXED, GLIMMIX, and NLMIXED procedures in SAS for Mixed Models, Second Edition, the comprehensive mixed models guide for data analysis, completely revised and updated for SAS 9 by authors Ramon Littell, George Milliken, Walter Stroup, Russell Wolfinger, and Oliver Schabenberger. The theory underlying the models, the forms of the models for various applications, and a wealth of examples from different fields of study are integrated in the discussions of these models: random effect only and random coefficients models; split-plot, multilocation, and repeated measures models; hierarchical models with nested random effects; analysis of covariance models; spatial correlation models; generalized linear mixed models; and nonlinear mixed models. Professionals and students with a background in two-way ANOVA and regression and a basic knowledge of linear models and matrix algebra will benefit from the topics covered. This book is part of the SAS Press program. Nº de ref. del artículo: APC9781590475003

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Ph D Ramon C Littell, Ph D George a Milliken, Ph D Walter W Stroup
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ISBN 10: 1590475003 ISBN 13: 9781590475003
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Descripción SAS Institute, United States, 2006. Paperback. Condición: New. 2nd ed.. Language: English . Brand New Book ***** Print on Demand *****.The indispensable, up-to-date guide to mixed models using SAS. Discover the latest capabilities available for a variety of applications featuring the MIXED, GLIMMIX, and NLMIXED procedures in SAS for Mixed Models, Second Edition, the comprehensive mixed models guide for data analysis, completely revised and updated for SAS 9 by authors Ramon Littell, George Milliken, Walter Stroup, Russell Wolfinger, and Oliver Schabenberger. The theory underlying the models, the forms of the models for various applications, and a wealth of examples from different fields of study are integrated in the discussions of these models: random effect only and random coefficients models; split-plot, multilocation, and repeated measures models; hierarchical models with nested random effects; analysis of covariance models; spatial correlation models; generalized linear mixed models; and nonlinear mixed models. Professionals and students with a background in two-way ANOVA and regression and a basic knowledge of linear models and matrix algebra will benefit from the topics covered. This book is part of the SAS Press program. Nº de ref. del artículo: APC9781590475003

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Ph.D., Russell C. Littell, Ph.D., George A. Milliken, Ph.D., Walter W. Stroup, Ph.D., Russell D. Wolfinger, Ph.D., Oliver Schabenberger
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Littell, Ramon C./ Milliken, George A./ Stroup, Walter W./ Wolfinger, Russell D./ Schabenberber, Oliver, Ph.D.
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Littell Ph.D., Ramon C.; Milliken Ph.D., George A.; Stroup Ph.D., Walter W.; Wolfinger Ph.D., Russell D.; Schabenberger Ph.D., Oliver
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Descripción SAS Publishing. Paperback. Condición: New. 840 pages. The indispensable, up-to-date guide to mixed models using SAS. Discover the latest capabilities available for a variety of applications featuring the MIXED, GLIMMIX, and NLMIXED procedures in SAS for Mixed Models, Second Edition, the comprehensive mixed models guide for data analysis, completely revised and updated for SAS 9 by authors Ramon Littell, George Milliken, Walter Stroup, Russell Wolfinger, and Oliver Schabenberger. The theory underlying the models, the forms of the models for various applications, and a wealth of examples from different fields of study are integrated in the discussions of these models: random effect only and random coefficients models; split-plot, multilocation, and repeated measures models; hierarchical models with nested random effects; analysis of covariance models; spatial correlation models; generalized linear mixed models; and nonlinear mixed models. Professionals and students with a background in two-way ANOVA and regression and a basic knowledge of linear models and matrix algebra will benefit from the topics covered. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Nº de ref. del artículo: 9781590475003

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