Design Experiments Introduction Based by Morris Max (22 results)
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Published by CRC Press, 2010
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Hardcover. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.
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Hardcover. Condition: Acceptable. Binding tight, pages have highlighting, marking and underlining. A few pages have dog eared corners. Cover has slight shelf wear and bumped corners. No dust jacket. Your purchase benefits the world-wide relief efforts of Mennonite Central Committee.
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Published by Chapman and Hall/CRC, 2017
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Condition: good. The item shows wear from consistent use, but it remains in good condition and works perfectly. All pages and cover are intact including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May NOT include discs, access code or other supplemental material…s.
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Published by Chapman and Hall/CRC, 2017
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Published by Taylor & Francis Ltd, 2017
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Published by Routledge 2017-05-31, 2017
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Published by Taylor & Francis Ltd, 2017
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 376 | Sprache: Englisch | Produktart: Bücher | Offering deep insight into the connections between design choice and the resulting statistical analysis, Design of Experiments: An Introduction Based on Linear Models explores how experiments are designed using the language of linear…statistical models. The book presents an organized framework for understanding the statistical aspects of experimental design as a whole within the structure provided by general linear models, rather than as a collection of seemingly unrelated solutions to unique problems. The core material can be found in the first thirteen chapters. These chapters cover a review of linear statistical models, completely randomized designs, randomized complete blocks designs, Latin squares, analysis of data from orthogonally blocked designs, balanced incomplete block designs, random block effects, split-plot designs, and two-level factorial experiments. The remainder of the text discusses factorial group screening experiments, regression model design, and an introduction to optimal design. To emphasize the practical value of design, most chapters contain a short example of a real-world experiment. Details of the calculations performed using R, along with an overview of the R commands, are provided in an appendix. This text enables students to fully appreciate the fundamental concepts and techniques of experimental design as well as the real-world value of design. It gives them a profound understanding of how design selection affects the information obtained in an experiment.
Language: English
Published by Chapman and Hall/CRC, 2010
Series: Book 21 of 59 - Chapman & Hall/CRC Texts in Statistical Science
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hardcover. Condition: New. In shrink wrap. Looks like an interesting title.
Language: English
Published by Chapman and Hall/CRC 2010-07-27, 2010
Series: Book 21 of 59 - Chapman & Hall/CRC Texts in Statistical Science
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Published by Chapman and Hall/CRC, 2010
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Published by Chapman and Hall/CRC, 2010
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Language: English
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Offering deep insight into the connections between design choice and the resulting statistical analysis, Design of Experiments: An Introduction Based on Linear Models explores how experiments are designed using the language of linear sta…tistical models. The book presents an organized framework for understanding the statistical aspects of experimental design as a whole within the structure provided by general linear models, rather than as a collection of seemingly unrelated solutions to unique problems.The core material can be found in the first thirteen chapters. These chapters cover a review of linear statistical models, completely randomized designs, randomized complete blocks designs, Latin squares, analysis of data from orthogonally blocked designs, balanced incomplete block designs, random block effects, split-plot designs, and two-level factorial experiments. The remainder of the text discusses factorial group screening experiments, regression model design, and an introduction to optimal design. To emphasize the practical value of design, most chapters contain a short example of a real-world experiment. Details of the calculations performed using R, along with an overview of the R commands, are provided in an appendix. This text enables students to fully appreciate the fundamental concepts and techniques of experimental design as well as the real-world value of design. It gives them a profound understanding of how design selection affects the information obtained in an experiment.
