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  • Ký hiệu PL/XG: 519.57 D2811
    Nhan đề: Design and analysis of experiments /
ISBN 9783319522487
DDC 519.57
Tác giả CN Dean, Angela
Nhan đề Design and analysis of experiments / Angela Dean; Daniel Voss; Danel Draguljić
Lần xuất bản 2nd ed.
Thông tin xuất bản Switzerland : Springer, 2017
Tóm tắt This textbook takes a strategic approach to the broad-reaching subject of experimental design by identifying the objectives behind an experiment and teaching practical considerations that govern design and implementation, concepts that serve as the basis for the analytical techniques covered. Rather than a collection of miscellaneous approaches, chapters build on the planning, running, and analyzing of simple experiments in an approach that results from decades of teaching the subject. In most experiments, the procedures can be reproduced by readers, thus giving them a broad exposure to experiments that are simple enough to be followed through their entire course. Outlines of student and published experiments appear throughout the text and as exercises at the end of the chapters. The authors develop the theory of estimable functions and analysis of variance with detail, but at a mathematical level that is simultaneously approachable. Throughout the book, statistical aspects of analysis complement practical aspects of design. This new, second edition includes an additional chapter on computer experiments additional "Using R" sections at the end of each chapter to illustrate R code and output updated output for all SAS programs and use of SAS Proc Mixed new material on screening experiments and analysis of mixed models Angela Dean, PhD, is Professor Emeritus of Statistics and a member of the Emeritus Academy at The Ohio State University, Columbus, Ohio. She is a fellow of the American Statistical Association and the Institute of Mathematical Statistics. Her research interests include design of screening and computer experiments. Daniel Voss, PhD, is Professor Emeritus of Mathematics and Statistics and former Interim Dean of the College of Science and Mathematics at Wright State University, Dayton, Ohio. His research interests include the analysis of saturated fractional factorial experiments, and the equivalence of hypothesis testing and confidence interval estimation. Danel Draguljic, PhD, is Assistant Professor of Mathematics at Franklin & Marshall College, Lancaster, Pennsylvania. His research interests include design of screening experiments, design of computer experiments, and statistics education.
Thuật ngữ chủ đề Probabilities
Từ khóa tự do Mathematical statistics
Từ khóa tự do Experimental design
Khoa Khoa Công nghệ Hoá học & Thực phẩm
Khoa Khoa Cơ khí - Điện - Điện tử - Ô tô
Tác giả(bs) CN Draguljić, Danel
Tác giả(bs) CN Voss, Daniel
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24510|aDesign and analysis of experiments /|cAngela Dean; Daniel Voss; Danel Draguljić
250|a2nd ed.
260|aSwitzerland : |bSpringer, |c2017
520|aThis textbook takes a strategic approach to the broad-reaching subject of experimental design by identifying the objectives behind an experiment and teaching practical considerations that govern design and implementation, concepts that serve as the basis for the analytical techniques covered. Rather than a collection of miscellaneous approaches, chapters build on the planning, running, and analyzing of simple experiments in an approach that results from decades of teaching the subject. In most experiments, the procedures can be reproduced by readers, thus giving them a broad exposure to experiments that are simple enough to be followed through their entire course. Outlines of student and published experiments appear throughout the text and as exercises at the end of the chapters. The authors develop the theory of estimable functions and analysis of variance with detail, but at a mathematical level that is simultaneously approachable. Throughout the book, statistical aspects of analysis complement practical aspects of design. This new, second edition includes an additional chapter on computer experiments additional "Using R" sections at the end of each chapter to illustrate R code and output updated output for all SAS programs and use of SAS Proc Mixed new material on screening experiments and analysis of mixed models Angela Dean, PhD, is Professor Emeritus of Statistics and a member of the Emeritus Academy at The Ohio State University, Columbus, Ohio. She is a fellow of the American Statistical Association and the Institute of Mathematical Statistics. Her research interests include design of screening and computer experiments. Daniel Voss, PhD, is Professor Emeritus of Mathematics and Statistics and former Interim Dean of the College of Science and Mathematics at Wright State University, Dayton, Ohio. His research interests include the analysis of saturated fractional factorial experiments, and the equivalence of hypothesis testing and confidence interval estimation. Danel Draguljic, PhD, is Assistant Professor of Mathematics at Franklin & Marshall College, Lancaster, Pennsylvania. His research interests include design of screening experiments, design of computer experiments, and statistics education.
541|aSpringer
650|aProbabilities
6534|aMathematical statistics
6534|aExperimental design
690|aKhoa Công nghệ Hoá học & Thực phẩm
690|aKhoa Cơ khí - Điện - Điện tử - Ô tô
691|aCông nghệ kỹ thuật hoá học
691|aKỹ thuật Hệ thống Công nghiệp
700|aDraguljić, Danel
700|aVoss, Daniel
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