Applied Linear Regression Models - Couverture souple

Kutner, Michael H.; Nachtsheim, Christopher J.; Wasserman, William; Neter, John

Couverture souple

ISBN 10 : 0071232524 ISBN 13 : 9780071232524

Editeur : McGraw Hill Higher Education, 2003

Synopsis

Kutner, Neter, Nachtsheim, Wasserman, "Applied Linear Regression Models, 4/e" (ALRM4e) is the long established leading authoritative text and reference on regression (previously Neter was lead author.) For students in most any discipline where statistical analysis or interpretation is used, "ALRM" has served as the industry standard. The text includes brief introductory and review material, and then proceeds through regression and modeling. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Notes" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in any discipline. "ALRM 4e" provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor by using larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.

A propos du livre

Présentation de l'éditeur

Kutner, Nachtsheim, Neter, Wasserman, Applied Linear Regression Models, 4/e (ALRM4e) is the long established leading authoritative text and reference on regression (previously Neter was lead author.) For students in most any discipline where statistical analysis or interpretation is used, ALRM has served as the industry standard. The text includes brief introductory and review material, and then proceeds through regression and modeling. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Comments" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in any discipline. ALRM 4e provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor.

Biographie de l'auteur

Michael H. Kutner is a professor at Emory University in Atlanta.

Chris J. Nachtsheim is a professor at the University of Minnesota--Minneapolis.

John Neter is a professor at the University of Georgia in Athens.

Détails de l'édition

• Éditeur: McGraw Hill Higher Education
• Date d'édition: 2003
• Langue: anglais
• ISBN 10: 0071232524
• ISBN 13: 9780071232524
• Reliure: Broché
• Numéro d'édition: 4
• Coordonnées du fabricant: non disponible