Statistical Analysis of Designed Experiments

Theory and Applications

Nonfiction, Science & Nature, Science, Other Sciences, Experiments & Projects
Cover of the book Statistical Analysis of Designed Experiments by Ajit C. Tamhane, Wiley
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Ajit C. Tamhane ISBN: 9781118491430
Publisher: Wiley Publication: September 12, 2012
Imprint: Wiley-Interscience Language: English
Author: Ajit C. Tamhane
ISBN: 9781118491430
Publisher: Wiley
Publication: September 12, 2012
Imprint: Wiley-Interscience
Language: English

A indispensable guide to understanding and designing modern experiments

The 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. MinitabĀ® 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

A indispensable guide to understanding and designing modern experiments

The 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. MinitabĀ® 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.

More books from Wiley

Cover of the book Getting into Medical School For Dummies by Ajit C. Tamhane
Cover of the book Elementary Particle Physics by Ajit C. Tamhane
Cover of the book History and Freedom by Ajit C. Tamhane
Cover of the book American Sign Language For Dummies with Online Videos by Ajit C. Tamhane
Cover of the book Advanced Therapy for Hepatitis C by Ajit C. Tamhane
Cover of the book QR Codes Kill Kittens by Ajit C. Tamhane
Cover of the book Encyclopedia of Financial Models, Volume I by Ajit C. Tamhane
Cover of the book Taming Heterogeneity and Complexity of Embedded Control by Ajit C. Tamhane
Cover of the book Political Psychology by Ajit C. Tamhane
Cover of the book Inorganic Nanostructures by Ajit C. Tamhane
Cover of the book NMR Crystallography by Ajit C. Tamhane
Cover of the book Greene and Mathieson's the Voice and its Disorders by Ajit C. Tamhane
Cover of the book Green Living For Dummies, Mini Edition by Ajit C. Tamhane
Cover of the book The Cerebellum by Ajit C. Tamhane
Cover of the book CCNA Certification All-In-One For Dummies by Ajit C. Tamhane
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy