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Publicado por Business Expert Press 11/1/2014, 2014
ISBN 10: 1606499580 ISBN 13: 9781606499580
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Añadir al carritoPaperback or Softback. Condición: New. Experimental Design: Unified Concepts, Practical Applications, and Computer Implementation. Book.
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Publicado por Business Expert Press 2014-11-01, 2014
ISBN 10: 1606499580 ISBN 13: 9781606499580
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Añadir al carritoPaperback. Condición: Brand New. 260 pages. 8.75x6.00x0.75 inches. In Stock.
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Añadir al carritoTaschenbuch. Condición: Neu. Experimental Design | Unified Concepts, Practical Applications, and Computer Implementation | Bruce L. Bowerman (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2014 | Business Expert Press | EAN 9781606499580 | Verantwortliche Person für die EU: Mare Nostrum Group B.V., Doelen 72, 4831 GR BREDA, NIEDERLANDE, gpsr[at]mare-nostrum[dot]co[dot]uk | Anbieter: preigu.
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Añadir al carritoPaperback. Condición: Brand New. 260 pages. 8.75x6.00x0.75 inches. In Stock. This item is printed on demand.
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Publicado por Business Expert Press Nov 2014, 2014
ISBN 10: 1606499580 ISBN 13: 9781606499580
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is a concise and innovative book that gives a complete presentation of the design and analysis of experiments in approximately one-half the space of competing books. With only the modest prerequisite of a basic (non-calculus) statistics course, this text is appropriate for the widest possible audience including college juniors, seniors, and first-year graduate students in business and statistics, as well as professionals in business and industry. The book is able to accommodate this wide audience because of the unique, integrative approach that it takes to the teaching of experimental design. This text organizes and presents the two procedures for analyzing experimental design data - analysis of variance (ANOVA) and regression analysis - in a way that allows the student to move through the material more quickly and efficiently than usual, making the true advantages of both ANOVA and regression analysis more apparent.The book devotes most of its first three chapters to showing how to use ANOVA to analyze the type of experimental design data that it can appropriately be used to analyze: balanced (equal sample sized) data or unbalanced (unequal sample sized) data from one factor studies; balanced data from two factor studies (two-way factorials and randomized block designs); and balanced data from three or more factor studies. Chapter 3 includes a general ANOVA procedure for analyzing balanced data experiments. 274 pp. Englisch.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 180.
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Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Librería: moluna, Greven, Alemania
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Über den AutorBruce L. Bowerman is professor emeritus of decision sciences at Miami University in Oxford, Ohio. He received his PhD degree in statistics from Iowa State University in 1974 and has over forty years of experience teach.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is a concise and innovative book that gives a complete presentation of the design and analysis of experiments in approximately one-half the space of competing books. With only the modest prerequisite of a basic (non-calculus) statistics course, this text is appropriate for the widest possible audience including college juniors, seniors, and first-year graduate students in business and statistics, as well as professionals in business and industry. The book is able to accommodate this wide audience because of the unique, integrative approach that it takes to the teaching of experimental design. This text organizes and presents the two procedures for analyzing experimental design data - analysis of variance (ANOVA) and regression analysis - in a way that allows the student to move through the material more quickly and efficiently than usual, making the true advantages of both ANOVA and regression analysis more apparent.The book devotes most of its first three chapters to showing how to use ANOVA to analyze the type of experimental design data that it can appropriately be used to analyze: balanced (equal sample sized) data or unbalanced (unequal sample sized) data from one factor studies; balanced data from two factor studies (two-way factorials and randomized block designs); and balanced data from three or more factor studies. Chapter 3 includes a general ANOVA procedure for analyzing balanced data experiments.