Sprache: Englisch
Verlag: Wiley-Interscience (edition 1), 2009
ISBN 10: 0471750433 ISBN 13: 9780471750437
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Sprache: Englisch
Verlag: John Wiley & Sons Inc (edition 1), 1987
ISBN 10: 0471822221 ISBN 13: 9780471822226
Anbieter: BooksRun, Philadelphia, PA, USA
Hardcover. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Sprache: Englisch
Verlag: Prentice Hall October 1999, 1999
ISBN 10: 0137444265 ISBN 13: 9780137444267
Anbieter: The Book Garden, Bountiful, UT, USA
Oversized Paperback. Zustand: Very Good - Cash. Light reader wear and rubbing to the edges, corners, covers, and pages. Corners bumped. Pages appear unmarked. The book is in great condition! Stock photos may not look exactly like the book.
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In den WarenkorbPaperback. Zustand: Brand New. 320 pages. 9.19x6.13x0.91 inches. In Stock.
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In den WarenkorbZustand: New. pp. 480.
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Taschenbuch. Zustand: Neu. Multiple Testing Problems in Pharmaceutical Statistics | Alex Dmitrienko (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | CRC Press | EAN 9781032477701 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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In den WarenkorbHardcover. Zustand: Brand New. har/psc edition. 359 pages. 10.50x7.50x1.00 inches. In Stock.
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In den WarenkorbZustand: New. 2020. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
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In den WarenkorbZustand: New. pp. 680 Illus.
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In den WarenkorbZustand: New. This book provides a balanced coverage of underlying theory of statistical analysis of designed experiments and its numerous applications. Data sets from real life studies are used throughout, and graphical as well as formal analyses are illustrated using MINITAB(c) software. Series: Wiley Series in Probability and Statistics. Num Pages: 680 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 245 x 167 x 38. Weight in Grams: 1090. . 2009. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
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EUR 311,00
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In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 679 pages. 9.75x6.25x1.50 inches. In Stock.
Sprache: Englisch
Verlag: Wiley & Sons, Wiley-Interscience Apr 2009, 2009
ISBN 10: 0471750433 ISBN 13: 9780471750437
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - A indispensable guide to understanding and designing modern experimentsThe tools and techniques of Design of Experiments (DOE) allow researchers to successfully collect, analyze, and interpret data across a wide array of disciplines. Statistical Analysis of Designed Experiments provides a modern and balanced treatment of DOE methodology with thorough coverage of the underlying theory and standard designs of experiments, guiding the reader through applications to research in various fields such as engineering, medicine, business, and the social sciences.The book supplies a foundation for the subject, beginning with basic concepts of DOE and a review of elementary normal theory statistical methods. Subsequent chapters present a uniform, model-based approach to DOE. Each design is presented in a comprehensive format and is accompanied by a motivating example, discussion of the applicability of the design, and a model for its analysis using statistical methods such as graphical plots, analysis of variance (ANOVA), confidence intervals, and hypothesis tests.Numerous theoretical and applied exercises are provided in each chapter, and answers to selected exercises are included at the end of the book. An appendix features three case studies that illustrate the challenges often encountered in real-world experiments, such as randomization, unbalanced data, and outliers. Minitab(r) software is used to perform analyses throughout the book, and an accompanying FTP site houses additional exercises and data sets.With its breadth of real-world examples and accessible treatment of both theory and applications, Statistical Analysis of Designed Experiments is a valuable book for experimental design courses at the upper-undergraduate and graduate levels. It is also an indispensable reference for practicing statisticians, engineers, and scientists who would like to further their knowledge of DOE.