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Applied Multivariate Data Analysis: Regression and Experimental Design (Springer Texts in Statistics) - Softcover

 
9781461269601: Applied Multivariate Data Analysis: Regression and Experimental Design (Springer Texts in Statistics)
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Book by Jobson JD

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"On the whole, this volume is an excellent compendium on the subject of statistics to serve as a textbook for a number of courses." (Zentralblatt fuer Mathematik)
Reseña del editor:
An easy to read survey of data analysis, linear regression models and analysis of variance. The extensive development of the linear model includes the use of the linear model approach to analysis of variance provides a strong link to statistical software packages, and is complemented by a thorough overview of theory. It is assumed that the reader has the background equivalent to an introductory book in statistical inference. Can be read easily by those who have had brief exposure to calculus and linear algebra. Intended for first year graduate students in business, social and the biological sciences. Provides the student with the necessary statistics background for a course in research methodology. In addition, undergraduate statistics majors will find this text useful as a survey of linear models and their applications.

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  • VerlagSpringer
  • Erscheinungsdatum2012
  • ISBN 10 1461269601
  • ISBN 13 9781461269601
  • EinbandPaperback
  • Anzahl der Seiten652

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9780387976600: Applied Multivariate Data Analysis: Regression and Experimental Design: 001 (Springer Texts in Statistics)

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ISBN 10:  0387976604 ISBN 13:  9780387976600
Verlag: Springer, 1999
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J. D. Jobson
Verlag: Springer New York (2012)
ISBN 10: 1461269601 ISBN 13: 9781461269601
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Buchbeschreibung Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - An easy to read survey of data analysis, linear regression models and analysis of variance. The extensive development of the linear model includes the use of the linear model approach to analysis of variance provides a strong link to statistical software packages, and is complemented by a thorough overview of theory. It is assumed that the reader has the background equivalent to an introductory book in statistical inference. Can be read easily by those who have had brief exposure to calculus and linear algebra. Intended for first year graduate students in business, social and the biological sciences. Provides the student with the necessary statistics background for a course in research methodology. In addition, undergraduate statistics majors will find this text useful as a survey of linear models and their applications. Artikel-Nr. 9781461269601

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