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9780071232524: Applied Linear Regression Models

Sinopsis

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.

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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.

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Kutner, Michael H.
Publicado por McGraw Hill Higher Education, 2003
ISBN 10: 0071232524 ISBN 13: 9780071232524
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Condición: Very Good. Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Nº de ref. del artículo: wbs6297816131

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Edición internacional
Edición internacional

Michael H KutnerChristopher J. Nachtshei
Publicado por McGraw-Hill, 2004
ISBN 10: 0071232524 ISBN 13: 9780071232524
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Librería: Benjamin Books, Ottawa, ON, Canada

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Paperback. Condición: Good. International Edition. Nº de ref. del artículo: 024899

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