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Condition: As New. Unread book in perfect condition.
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Statistical Methods and Analyses for Medical Devices
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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£ 45.68
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Hardcover. Condition: Wie neu. 1. Auflage. New book, remains sealed in plastic. Language - English. Ships from Berlin.
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Statistical Methods for Field and Laboratory Studies in Behavioral Ecology
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Statistical Methods for Field and Laboratory Studies in Behavioral Ecology
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Empirical Modeling and Data Analysis for Engineers and Applied Scientists
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Empirical Modeling and Data Analysis for Engineers and Applied Scientists
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Condition: New. pp. 262.
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Statistical Methods for Field and Laboratory Studies in Behavioral Ecology
Language: English
Published by Chapman and Hall/CRC, 2018
ISBN 10: 1138743364 ISBN 13: 9781138743366
Condition: As New. Unread book in perfect condition.
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Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: New.
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Condition: New.
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Taschenbuch. Condition: Neu. Empirical Modeling and Data Analysis for Engineers and Applied Scientists | Scott A. Pardo | Taschenbuch | xv | Englisch | 2018 | Springer | EAN 9783319813646 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Empirical Modeling and Data Analysis for Engineers and Applied Scientists
Language: English
Published by Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3319813641 ISBN 13: 9783319813646
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook teaches advanced undergraduate and first-year graduate students in Engineering and Applied Sciences to gather and analyze empirical observations (data) in order to aid in making design decisions.While science is about discovery, the primary paradigm of engineering and 'applied science' is design. Scientists are in the discovery business and want, in general, to understand the natural world rather than to alter it. In contrast, engineers and applied scientists design products, processes, and solutions to problems. That said, statistics, as a discipline, is mostly oriented toward the discovery paradigm. Young engineers come out of their degree programs having taken courses such as 'Statistics for Engineers and Scientists' without any clear idea as to how they can use statistical methods to help them design products or processes. Many seem to think that statistics is only useful for demonstrating that a device or processactually does what it was designed to do. Statistics courses emphasize creating predictive or classification models - predicting nature or classifying individuals, and statistics is often used to prove or disprove phenomena as opposed to aiding in the design of a product or process. In industry however, Chemical Engineers use designed experiments to optimize petroleum extraction; Manufacturing Engineers use experimental data to optimize machine operation; Industrial Engineers might use data to determine the optimal number of operators required in a manual assembly process. This text teaches engineering and applied science students to incorporate empirical investigation into such design processes.Much of the discussion in this book is about models, not whether the models truly represent reality but whether they adequately represent reality with respect to the problems at hand; many ideas focus on how to gather data in the most efficient way possible to construct adequate models.Includes chapters on subjects not often seen together in a single text (e.g., measurement systems, mixture experiments, logistic regression, Taguchi methods, simulation)Techniques and concepts introduced present a wide variety of design situations familiar to engineers and applied scientists and inspire incorporation of experimentation and empirical investigation into the design process.Software is integrally linked to statistical analyses with fully worked examples in each chapter; fully worked using several packages: SAS, R, JMP, Minitab, and MS Excel - also including discussion questions at the end of each chapter.The fundamental learning objective of this textbook is for the reader to understand how experimental data can be used to make design decisions and to be familiar with the most common types of experimental designs and analysis methods.
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Paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Empirical Modeling and Data Analysis for Engineers and Applied Scientists
Language: English
Published by Springer, Palgrave Macmillan, 2016
ISBN 10: 3319327674 ISBN 13: 9783319327679
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook teaches advanced undergraduate and first-year graduate students in Engineering and Applied Sciences to gather and analyze empirical observations (data) in order to aid in making design decisions.While science is about discovery, the primary paradigm of engineering and 'applied science' is design. Scientists are in the discovery business and want, in general, to understand the natural world rather than to alter it. In contrast, engineers and applied scientists design products, processes, and solutions to problems. That said, statistics, as a discipline, is mostly oriented toward the discovery paradigm. Young engineers come out of their degree programs having taken courses such as 'Statistics for Engineers and Scientists' without any clear idea as to how they can use statistical methods to help them design products or processes. Many seem to think that statistics is only useful for demonstrating that a device or processactually does what it was designed to do. Statistics courses emphasize creating predictive or classification models - predicting nature or classifying individuals, and statistics is often used to prove or disprove phenomena as opposed to aiding in the design of a product or process. In industry however, Chemical Engineers use designed experiments to optimize petroleum extraction; Manufacturing Engineers use experimental data to optimize machine operation; Industrial Engineers might use data to determine the optimal number of operators required in a manual assembly process. This text teaches engineering and applied science students to incorporate empirical investigation into such design processes.Much of the discussion in this book is about models, not whether the models truly represent reality but whether they adequately represent reality with respect to the problems at hand; many ideas focus on how to gather data in the most efficient way possible to construct adequate models.Includes chapters on subjects not often seen together in a single text (e.g., measurement systems, mixture experiments, logistic regression, Taguchi methods, simulation)Techniques and concepts introduced present a wide variety of design situations familiar to engineers and applied scientists and inspire incorporation of experimentation and empirical investigation into the design process.Software is integrally linked to statistical analyses with fully worked examples in each chapter; fully worked using several packages: SAS, R, JMP, Minitab, and MS Excel - also including discussion questions at the end of each chapter.The fundamental learning objective of this textbook is for the reader to understand how experimental data can be used to make design decisions and to be familiar with the most common types of experimental designs and analysis methods.
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Condition: As New. Unread book in perfect condition.
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Statistical Methods for Field and Laboratory Studies in Behavioral Ecology
Language: English
Published by Chapman and Hall/CRC, 2018
ISBN 10: 1138743364 ISBN 13: 9781138743366
Condition: New.
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Statistical Methods for Field and Laboratory Studies in Behavioral Ecology
Language: English
Published by Chapman and Hall/CRC, 2018
ISBN 10: 1138743364 ISBN 13: 9781138743366
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Statistical Methods for Field and Laboratory Studies in Behavioral Ecology
Language: English
Published by Chapman and Hall/CRC, 2018
ISBN 10: 1138743364 ISBN 13: 9781138743366
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Beyond the T-test
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 122.14
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Taschenbuch. Condition: Neu. Beyond the T-Test | Scott A. Pardo | Taschenbuch | xii | Englisch | 2026 | Springer | EAN 9783031844812 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Beyond the T-test
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 130.12
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book was inspired by years of questions asked by non-statistical professionals, from social scientists, public policy analysts, regulatory affairs specialists, engineers, and physical scientists. It provides them with both an intuitive explanation of many common statistical methods and enough mathematical background to help them justify those methods to others, such as regulatory agencies. It provides an introduction to commonly used methods that are not covered in a first elementary statistics course, such as partial least squares, MCMC, and neural networks. It also provides R code for making all the computations described in the text.As a textbook, it could be used as a second course instatistics for non-statisticians, in fields such as social sciences, public policy, engineering, chemistry, and physics. Many first-year graduate students have had an elementary statistics course, but were not exposed to enough of the mathematics to justify the application of those methods. Furthermore, they often encounter methods and concepts not touched upon in their first statistics course. This book provides the tools required to give a deeper understanding of statistical methods without being all about theorems and proofs.
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Condition: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.
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Condition: New.
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book was inspired by years of questions asked by non-statistical professionals, from social scientists, public policy analysts, regulatory affairs specialists, engineers, and physical scientists. It provides them with both an intuitive explanation of many common statistical methods and enough mathematical background to help them justify those methods to others, such as regulatory agencies. It provides an introduction to commonly used methods that are not covered in a first elementary statistics course, such as partial least squares, MCMC, and neural networks. It also provides R code for making all the computations described in the text.As a textbook, it could be used as a second course instatistics for non-statisticians, in fields such as social sciences, public policy, engineering, chemistry, and physics. Many first-year graduate students have had an elementary statistics course, but were not exposed to enough of the mathematics to justify the application of those methods. Furthermore, they often encounter methods and concepts not touched upon in their first statistics course. This book provides the tools required to give a deeper understanding of statistical methods without being all about theorems and proofs.
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Condition: New.
