statistical analysis designed experiments de tamhane ajit (19 résultats)

hardcover. Etat : Good. General wear from age and use. Open Books is a nonprofit social venture that provides literacy experiences for thousands of readers each year through inspiring programs and creative capitalization of books.

Hardcover. Etat : new. Hardcover. 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. Minitab 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Etat : New.

Etat : New.

Etat : New. In.

Etat : New.

Hardcover. Etat : new. Hardcover. 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. Minitab 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Etat : New. pp. 680 Illus.

Etat : 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. . . . .

Etat : New. pp. 680.

Etat : 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.

Buch. Etat : 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.

Hardcover. Etat : new. Hardcover. 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. Minitab 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Etat : Brand New. 1st edition. 679 pages. 9.75x6.25x1.50 inches. In Stock.

Etat : As New. Unread book in perfect condition.

Hardcover. Etat : Like New. Like New. book.

Etat : As New. Unread book in perfect condition.

Hardcover. Etat : Brand New. 1st edition. 679 pages. 9.75x6.25x1.50 inches. In Stock. This item is printed on demand.

Hardback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 1120.