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Titlebook: Design and Analysis of Experiments; Angela Dean,Daniel Voss,Danel Dragulji? Textbook 2017Latest edition Springer International Publishing

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發(fā)表于 2025-3-21 16:13:56 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Design and Analysis of Experiments
編輯Angela Dean,Daniel Voss,Danel Dragulji?
視頻videohttp://file.papertrans.cn/269/268504/268504.mp4
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
叢書名稱Springer Texts in Statistics
圖書封面Titlebook: Design and Analysis of Experiments;  Angela Dean,Daniel Voss,Danel Dragulji? Textbook 2017Latest edition Springer International Publishing
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
關鍵詞Analysis of Experiments; Analysis of covariance; Blocking factors; Design of Experiments; Factorial expe
版次2
doihttps://doi.org/10.1007/978-3-319-52250-0
isbn_softcover978-3-319-52248-7
isbn_ebook978-3-319-52250-0Series ISSN 1431-875X Series E-ISSN 2197-4136
issn_series 1431-875X
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Planning Experiments,nce of the guide is illustrated with real experiments. The chapter also briefly introduces some standard experimental designs, such as completely randomized designs, block designs, and split-plot designs, whose detailed descriptions are provided in later chapters.
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Checking Model Assumptions,g such assumptions for the one-way analysis of variance model, including checking the normality, constant variance, and independence of the errors. In this chapter, and throughout the book, the model assumption checks are made by examining residual plots. In the case of unequal variances, a transfor
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Polynomial Regression,estimated via least squares and the fit of the model is assessed with a lack-of-fit test. The simple linear regression model is examined in detail and confidence intervals and hypothesis tests about the parameter values are developed. The investigation of linear and quadratic trends in the data via
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