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A Comprehensive Guide To Factorial Two Level Experimentation [PDF Download]

A Comprehensive Guide to Factorial Two Level Experimentation PDF
Author: Robert Mee
Publisher: Springer Science & Business Media
Release Date: 2009-06-23
ISBN: 038789103X
Size: 22.58 MB
Format: PDF, Mobi
Category : Mathematics
Languages : en
Pages : 545
View: 5964

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This book contains the most comprehensive coverage available anywhere for two-level factorial designs. The re-analysis of 50 published examples serves as a how-to guide for analysis of the many types of full factorial and fractional factorial designs. By focusing on two-level designs, this book is accessible to a wide audience of practitioners who use planned experiments.

Handbook Of Design And Analysis Of Experiments [PDF Download]

Handbook of Design and Analysis of Experiments PDF
Author: Angela Dean
Publisher: CRC Press
Release Date: 2015-06-26
ISBN: 146650434X
Size: 20.23 MB
Format: PDF, Docs
Category : Mathematics
Languages : en
Pages : 960
View: 3908

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Handbook of Design and Analysis of Experiments provides a detailed overview of the tools required for the optimal design of experiments and their analyses. The handbook gives a unified treatment of a wide range of topics, covering the latest developments. This carefully edited collection of 25 chapters in seven sections synthesizes the state of the art in the theory and applications of designed experiments and their analyses. Written by leading researchers in the field, the chapters offer a balanced blend of methodology and applications. The first section presents a historical look at experimental design and the fundamental theory of parameter estimation in linear models. The second section deals with settings such as response surfaces and block designs in which the response is modeled by a linear model, the third section covers designs with multiple factors (both treatment and blocking factors), and the fourth section presents optimal designs for generalized linear models, other nonlinear models, and spatial models. The fifth section addresses issues involved in designing various computer experiments. The sixth section explores "cross-cutting" issues relevant to all experimental designs, including robustness and algorithms. The final section illustrates the application of experimental design in recently developed areas. This comprehensive handbook equips new researchers with a broad understanding of the field’s numerous techniques and applications. The book is also a valuable reference for more experienced research statisticians working in engineering and manufacturing, the basic sciences, and any discipline that depends on controlled experimental investigation.

Business Experiments With R [PDF Download]

Business Experiments with R PDF
Author: B. D. McCullough
Publisher: John Wiley & Sons
Release Date: 2021-03-26
ISBN: 1119689880
Size: 54.40 MB
Format: PDF, ePub, Docs
Category : Mathematics
Languages : en
Pages : 384
View: 824

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A unique text that simplifies experimental business design and is dedicated to the R language Business Experiments with R offers a guide and explores the fundamentals of experiment business designs. The book fills a gap in the literature with its discussion of business statistics, addressing issues such as small samples, lack of normality, and data confounding. The author—a noted expert on the topic—puts the focus on the A/B tests (and their variants) that are widely used in industry but not typically covered in business statistics textbooks. The text contains the tools needed to design and analyze two-treatment experiments (i.e., A/B tests) to answer business questions. The author highlights the strategic and technical issues involved in designing experiments that will truly affect organizations. The book then builds on the foundation laid in Part I and expands on multivariable testing. Today’s companies use experiments to solve a broad range of problems, and Business Experiments with R is an essential resource for any business student. This important text: Presents the key ideas that business students need to know about experiments Offers a series of examples, focusing on specific business questions Helps develop the ability to frame ill-defined problems and determine what data and types of analysis provide information about each problem Contains supplementary material, such as data sets available to everyone and an instructor-only companion site featuring lecture slides and an answer key Written for students of general business, marketing, and business analytics, Business Experiments with R is an important text that helps to answer business questions by highlighting the strategic and technical issues involved in designing experiments that will truly affect organizations.

Design And Analysis Of Experiments [PDF Download]

Design and Analysis of Experiments PDF
Author: Douglas C. Montgomery
Publisher: John Wiley & Sons
Release Date: 2017
ISBN: 1119113474
Size: 51.40 MB
Format: PDF, Docs
Category : Experimental design
Languages : en
Pages : 734
View: 6621

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"The eighth edition of Design and Analysis of Experiments continues to provide extensive and in-depth information on engineering, business, and statistics-as well as informative ways to help readers design and analyze experiments for improving the quality, efficiency and performance of working systems. Furthermore, the text maintains its comprehensive coverage by including: new examples, exercises, and problems (including in the areas of biochemistry and biotechnology); new topics and problems in the area of response surface; new topics in nested and split-plot design; and the residual maximum likelihood method is now emphasized throughout the book"--

Theory Of Factorial Design [PDF Download]

Theory of Factorial Design PDF
Author: Ching-Shui Cheng
Publisher: CRC Press
Release Date: 2016-04-19
ISBN: 1466505583
Size: 39.64 MB
Format: PDF, Kindle
Category : Mathematics
Languages : en
Pages : 409
View: 830

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Bringing together both new and old results, Theory of Factorial Design: Single- and Multi-Stratum Experiments provides a rigorous, systematic, and up-to-date treatment of the theoretical aspects of factorial design. To prepare readers for a general theory, the author first presents a unified treatment of several simple designs, including completely randomized designs, block designs, and row-column designs. As such, the book is accessible to readers with minimal exposure to experimental design. With exercises and numerous examples, it is suitable as a reference for researchers and as a textbook for advanced graduate students. In addition to traditional topics and a thorough discussion of the popular minimum aberration criterion, the book covers many topics and new results not found in existing books. These include results on the structures of two-level resolution IV designs, methods for constructing such designs beyond the familiar foldover method, the extension of minimum aberration to nonregular designs, the equivalence of generalized minimum aberration and minimum moment aberration, a Bayesian approach, and some results on nonregular designs. The book also presents a theory that provides a unifying framework for the design and analysis of factorial experiments with multiple strata (error terms) arising from complicated structures of the experimental units. This theory can be systematically applied to various structures of experimental units instead of treating each on a case-by-case basis.

Design Of Experiments [PDF Download]

Design of Experiments PDF
Author: Max Morris
Publisher: CRC Press
Release Date: 2010-07-27
ISBN: 1439894906
Size: 26.36 MB
Format: PDF, Kindle
Category : Mathematics
Languages : en
Pages : 376
View: 3901

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Offering deep insight into the connections between design choice and the resulting statistical analysis, Design of Experiments: An Introduction Based on Linear Models explores how experiments are designed using the language of linear statistical models. The book presents an organized framework for understanding the statistical aspects of experimental design as a whole within the structure provided by general linear models, rather than as a collection of seemingly unrelated solutions to unique problems. The core material can be found in the first thirteen chapters. These chapters cover a review of linear statistical models, completely randomized designs, randomized complete blocks designs, Latin squares, analysis of data from orthogonally blocked designs, balanced incomplete block designs, random block effects, split-plot designs, and two-level factorial experiments. The remainder of the text discusses factorial group screening experiments, regression model design, and an introduction to optimal design. To emphasize the practical value of design, most chapters contain a short example of a real-world experiment. Details of the calculations performed using R, along with an overview of the R commands, are provided in an appendix. This text enables students to fully appreciate the fundamental concepts and techniques of experimental design as well as the real-world value of design. It gives them a profound understanding of how design selection affects the information obtained in an experiment.

Concise Encyclopedia Of Biostatistics For Medical Professionals [PDF Download]

Concise Encyclopedia of Biostatistics for Medical Professionals PDF
Author: Abhaya Indrayan
Publisher: CRC Press
Release Date: 2016-11-25
ISBN: 1315355574
Size: 76.78 MB
Format: PDF, Docs
Category : Medical
Languages : en
Pages : 682
View: 3443

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Concise Encyclopedia of Biostatistics for Medical Professionals focuses on conceptual knowledge and practical advice rather than mathematical details, enhancing its usefulness as a reference for medical professionals. The book defines and describes nearly 1000 commonly and not so commonly used biostatistical terms and methods arranged in alphabetical order. These range from simple terms, such as mean and median to advanced terms such as multilevel models and generalized estimating equations. Synonyms or alternative phrases for each topic covered are listed with a reference to the topic.

Handbook Of Fitting Statistical Distributions With R [PDF Download]

Handbook of Fitting Statistical Distributions with R PDF
Author: Zaven A. Karian
Publisher: CRC Press
Release Date: 2016-04-19
ISBN: 1584887125
Size: 10.53 MB
Format: PDF
Category : Mathematics
Languages : en
Pages : 1718
View: 7345

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With the development of new fitting methods, their increased use in applications, and improved computer languages, the fitting of statistical distributions to data has come a long way since the introduction of the generalized lambda distribution (GLD) in 1969. Handbook of Fitting Statistical Distributions with R presents the latest and best methods

Design And Analysis Of Simulation Experiments [PDF Download]

Design and Analysis of Simulation Experiments PDF
Author: Jack P.C. Kleijnen
Publisher: Springer
Release Date: 2015-07-01
ISBN: 3319180878
Size: 71.86 MB
Format: PDF, Kindle
Category : Business & Economics
Languages : en
Pages : 322
View: 6740

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This is a new edition of Kleijnen’s advanced expository book on statistical methods for the Design and Analysis of Simulation Experiments (DASE). Altogether, this new edition has approximately 50% new material not in the original book. More specifically, the author has made significant changes to the book’s organization, including placing the chapter on Screening Designs immediately after the chapters on Classic Designs, and reversing the order of the chapters on Simulation Optimization and Kriging Metamodels. The latter two chapters reflect how active the research has been in these areas. The validation section has been moved into the chapter on Classic Assumptions versus Simulation Practice, and the chapter on Screening now has a section on selecting the number of replications in sequential bifurcation through Wald’s sequential probability ration test, as well as a section on sequential bifurcation for multiple types of simulation responses. Whereas all references in the original edition were placed at the end of the book, in this edition references are placed at the end of each chapter. From Reviews of the First Edition: “Jack Kleijnen has once again produced a cutting-edge approach to the design and analysis of simulation experiments.” (William E. BILES, JASA, June 2009, Vol. 104, No. 486)