书目名称 | Design and Analysis of Experiments |
编辑 | Angela Dean,Daniel Voss,Danel Draguljić |
视频video | |
概述 | Second edition includes new material on screening experiments and analysis of mixed models, a new chapter on computer experiments, added “Using R” sections, updated SAS output, and use of SAS Proc Mix |
丛书名称 | Springer Texts in Statistics |
图书封面 |  |
描述 | 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 a |
出版日期 | Textbook 2017Latest edition |
关键词 | Analysis of Experiments; Analysis of covariance; Blocking factors; Design of Experiments; Factorial expe |
版次 | 2 |
doi | https://doi.org/10.1007/978-3-319-52250-0 |
isbn_softcover | 978-3-319-52248-7 |
isbn_ebook | 978-3-319-52250-0Series ISSN 1431-875X Series E-ISSN 2197-4136 |
issn_series | 1431-875X |
copyright | Springer International Publishing AG 2017 |