Linear Regression - Couverture rigide

Olive, David J.

Couverture rigide

ISBN 10 : 3319552503 ISBN 13 : 9783319552507

Editeur : Springer International Publishing AG, 2017

Afficher les exemplaires de cette �dition comportant l'ISBN

0 D'occasion

11 Neuf

De EUR 118,26

This text covers both multiple linear regression and some experimental design models. The text uses the response plot to visualize the model and to detect outliers, does not assume that the error distribution has a known parametric distribution, develops prediction intervals that work when the error distribution is unknown, suggests bootstrap hypothesis tests that may be useful for inference after variable selection, and develops prediction regions and large sample theory for the multivariate linear regression model that has m response variables. A relationship between multivariate prediction regions and confidence regions provides a simple way to bootstrap confidence regions. These confidence regions often provide a practical method for testing hypotheses. There is also a chapter on generalized linear models and generalized additive models.

There are many R functions to produce response and residual plots, to simulate prediction intervals and hypothesis tests, to detect outliers, and to choose response transformations for multiple linear regression or experimental design models.

This text is for graduates and undergraduates with a strong mathematical background. The prerequisites for this text are linear algebra and a calculus based course in statistics.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

� propos de l'auteur

David Olive is a Professor at Southern Illinois University, Carbondale, IL, USA. His research interests include the development of computationally practical robust multivariate location and dispersion estimators, robust multiple linear regression estimators, and resistant dimension reduction estimators.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer International Publishing AG
Date d'�dition: 2017
Langue: anglais
ISBN 10: 3319552503
ISBN 13: 9783319552507
Reliure: Reli�
Num�ro d'�dition: 1
Nombre de pages: 508
Coordonn�es du fabricant: ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Allemagne

Autres �ditions populaires du m�me titre

Edition pr�sent�e

ISBN 10 : 3319856081 ISBN 13 : 9783319856087
Editeur : Springer, 2018
Couverture souple

R�sultats de recherche pour Linear Regression

Image d'archives

Linear Regression (eng)

Olive, David J.

Edit� par Springer, 2017

ISBN 10 : 3319552503 ISBN 13 : 9783319552507

Neuf Couverture rigide

impression � la demande

Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie

�valuation du vendeur 5 sur 5 �toiles

Etat : new. Questo � un articolo print on demand. N� de r�f. du vendeur b708c9af20df1037af25fdfccc1944b0

Contacter le vendeur

Acheter neuf

EUR 118,26

Exp�dition �EUR 8
Exp�dition depuis Italie vers Etats-Unis

Quantit� disponible : Plus de 20 disponibles

Ajouter au panier

Image fournie par le vendeur

Linear Regression

David J. Olive

Edit� par Springer International Publishing Apr 2017, 2017

ISBN 10 : 3319552503 ISBN 13 : 9783319552507

Neuf Couverture rigide

impression � la demande

Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This text covers both multiple linear regression and some experimental design models. The text uses the response plot to visualize the model and to detect outliers, does not assume that the error distribution has a known parametric distribution, develops prediction intervals that work when the error distribution is unknown, suggests bootstrap hypothesis tests that may be useful for inference after variable selection, and develops prediction regions and large sample theory for the multivariate linear regression model that has m response variables. A relationship between multivariate prediction regions and confidence regions provides a simple way to bootstrap confidence regions. These confidence regions often provide a practical method for testing hypotheses. There is also a chapter on generalized linear models and generalized additive models.There are many R functions to produce response and residual plots, to simulate prediction intervals and hypothesis tests, to detect outliers, and to choose response transformations for multiple linear regression or experimental design models.This text is for graduates and undergraduates with a strong mathematical background. The prerequisites for this text are linear algebra and a calculus based course in statistics. 508 pp. Englisch. N� de r�f. du vendeur 9783319552507

Contacter le vendeur

Acheter neuf

EUR 149,79

Exp�dition �EUR 23
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : 2 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Linear Regression

David J. Olive

Edit� par Springer International Publishing, 2017

ISBN 10 : 3319552503 ISBN 13 : 9783319552507

Neuf Couverture rigide

impression � la demande

Vendeur : moluna, Greven, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. R functions are available for download from author s websiteIncludes an extensive bibliographyProblems are provided at the end of every chapterDavid Olive is a Professor at Southern Illinois. N� de r�f. du vendeur 144881460

Contacter le vendeur

Acheter neuf

EUR 124,20

Exp�dition �EUR 48,99
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : Plus de 20 disponibles

Ajouter au panier

Image d'archives

Linear Regression

Olive, David J.

Edit� par Springer, 2017

ISBN 10 : 3319552503 ISBN 13 : 9783319552507

Neuf Couverture rigide

Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni

�valuation du vendeur 4 sur 5 �toiles

Hardcover. Etat : New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. N� de r�f. du vendeur ERICA77333195525036

Contacter le vendeur

Acheter neuf

EUR 155,54

Exp�dition �EUR 29,27
Exp�dition depuis Royaume-Uni vers Etats-Unis

Quantit� disponible : 1 disponible(s)

Ajouter au panier

Image d'archives

Linear Regression (Hardcover)

David J. Olive

Edit� par Springer International Publishing AG, Cham, 2017

ISBN 10 : 3319552503 ISBN 13 : 9783319552507

Neuf Couverture rigide Edition originale

Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis

�valuation du vendeur 5 sur 5 �toiles

Hardcover. Etat : new. Hardcover. This text covers both multiple linear regression and some experimental design models. The text uses the response plot to visualize the model and to detect outliers, does not assume that the error distribution has a known parametric distribution, develops prediction intervals that work when the error distribution is unknown, suggests bootstrap hypothesis tests that may be useful for inference after variable selection, and develops prediction regions and large sample theory for the multivariate linear regression model that has m response variables. A relationship between multivariate prediction regions and confidence regions provides a simple way to bootstrap confidence regions. These confidence regions often provide a practical method for testing hypotheses. There is also a chapter on generalized linear models and generalized additive models.There are many R functions to produce response and residual plots, to simulate prediction intervals and hypothesis tests, to detect outliers, and to choose response transformations for multiple linear regression or experimental design models.This text is for graduates and undergraduates with a strong mathematical background. The prerequisites for this text are linear algebra and a calculus based course in statistics. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9783319552507

Contacter le vendeur

Acheter neuf

EUR 201,07

Livraison gratuite
Exp�dition nationale�: Etats-Unis

Quantit� disponible : 1 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Linear Regression

David J. Olive

Edit� par Springer, Palgrave Macmillan Apr 2017, 2017

ISBN 10 : 3319552503 ISBN 13 : 9783319552507

Neuf Couverture rigide

impression � la demande

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This text covers both multiple linear regression and some experimental design models. The text uses the response plot to visualize the model and to detect outliers, does not assume that the error distribution has a known parametric distribution, develops prediction intervals that work when the error distribution is unknown, suggests bootstrap hypothesis tests that may be useful for inference after variable selection, and develops prediction regions and large sample theory for the multivariate linear regression model that has m response variables. A relationship between multivariate prediction regions and confidence regions provides a simple way to bootstrap confidence regions. These confidence regions often provide a practical method for testing hypotheses. There is also a chapter on generalized linear models and generalized additive models.There are many R functions to produce response and residual plots, to simulate prediction intervals and hypothesis tests, to detect outliers, and to choose response transformations for multiple linear regression or experimental design models.This text is for graduates and undergraduates with a strong mathematical background. The prerequisites for this text are linear algebra and a calculus based course in statistics.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 508 pp. Englisch. N� de r�f. du vendeur 9783319552507

Contacter le vendeur

Acheter neuf

EUR 149,79

Exp�dition �EUR 60
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : 1 disponible(s)

Ajouter au panier

Image d'archives

Linear Regression

Olive, David J.

Edit� par Springer, 2017

ISBN 10 : 3319552503 ISBN 13 : 9783319552507

Neuf Couverture rigide

Vendeur : Books Puddle, New York, NY, Etats-Unis

�valuation du vendeur 4 sur 5 �toiles

Etat : New. 1st ed. 2017 edition NO-PA16APR2015-KAP. N� de r�f. du vendeur 26376272965

Contacter le vendeur

Acheter neuf

EUR 207,75

Exp�dition �EUR 3,50
Exp�dition nationale�: Etats-Unis

Quantit� disponible : 4 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Linear Regression

David J. Olive

Edit� par Springer, 2017

ISBN 10 : 3319552503 ISBN 13 : 9783319552507

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This text covers both multiple linear regression and some experimental design models. The text uses the response plot to visualize the model and to detect outliers, does not assume that the error distribution has a known parametric distribution, develops prediction intervals that work when the error distribution is unknown, suggests bootstrap hypothesis tests that may be useful for inference after variable selection, and develops prediction regions and large sample theory for the multivariate linear regression model that has m response variables. A relationship between multivariate prediction regions and confidence regions provides a simple way to bootstrap confidence regions. These confidence regions often provide a practical method for testing hypotheses. There is also a chapter on generalized linear models and generalized additive models.There are many R functions to produce response and residual plots, to simulate prediction intervals and hypothesis tests, to detect outliers, and to choose response transformations for multiple linear regression or experimental design models.This text is for graduates and undergraduates with a strong mathematical background. The prerequisites for this text are linear algebra and a calculus based course in statistics. N� de r�f. du vendeur 9783319552507

Contacter le vendeur