Design and Analysis of Experiments (Springer Texts in Statistics) - Softcover

Buch 86 von 111: Springer Texts in Statistics

Dean, Angela; Voss, Daniel; Draguljić, Danel

 
9783319522487: Design and Analysis of Experiments (Springer Texts in Statistics)
Softcover
ISBN 10: 3319522485 ISBN 13: 9783319522487
Verlag: Springer, 2017

Inhaltsangabe

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 analysiscomplement 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


Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

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, and a former chair of the Section on Physical and Engineering Sciences of the American Statistical Association. Her research interests include design of screening and computer experiments.


Daniel Voss, PhD,  is Professor Emeritus of Mathematics and Statistics at Wright State University, Dayton, Ohio. He is a former Interim Dean of the College of Science and Mathematics and Interim Director of the Statistical Consulting Center at WSU. 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.

Von der hinteren Coverseite

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 researchinterests 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.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2017
Sprache
Englisch
ISBN 10 
3319522485
ISBN 13 
9783319522487
Einband
Taschenbuch
Auflage
2
Anzahl der Seiten
865
Kontakt zum Hersteller
preigu GmbH & Co. KG
mail@preigu.de

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