With Applications to Engineering and Science

Author: Robert L. Mason,Richard F. Gunst,James L. Hess

Publisher: John Wiley & Sons

ISBN: 0471458511

Category: Mathematics

Page: 760

View: 1260

Emphasizes the strategy of experimentation, data analysis, and theinterpretation of experimental results. Features numerous examples using actual engineering andscientific studies. Presents statistics as an integral component of experimentationfrom the planning stage to the presentation of theconclusions. Deep and concentrated experimental design coverage, withequivalent but separate emphasis on the analysis of data from thevarious designs. Topics can be implemented by practitioners and do not require ahigh level of training in statistics. New edition includes new and updated material and computeroutput.
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Author: Peter W. M. John

Publisher: SIAM

ISBN: 0898714273

Category: Mathematics

Page: 356

View: 5126

An invaluable reference on the design of experiments. Includes hard-to-find information on change-over designs and analysis of covariance.
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Volume 1: Two Crops

Author: Walter T. Federer

Publisher: Springer Science & Business Media

ISBN: 1461393051

Category: Medical

Page: 298

View: 6930

Intercropping is a method of sustaining or improving soil structure by growing two or more crops on the same field. It is a technique of wide application and of growing importance for both commercial and subsistence farmers. This textbook provides a comprehensive survey of the design and analysis of intercropping experiments. Its main themes are that techniques such as relative indices make it possible to cover a wide variety of conditions, and that statistical models for density-yield relations enable recommendations to be made to growers of crops. As a result, graduate students and researchers in statistics, biometry, and agriculture whose study involves intercropping will find this an invaluable text and reference.
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Introduction to Experimental Design

Author: Klaus Hinkelmann,Oscar Kempthorne

Publisher: John Wiley & Sons

ISBN: 9780470191743

Category: Mathematics

Page: 640

View: 5698

This user-friendly new edition reflects a modern and accessible approach to experimental design and analysis Design and Analysis of Experiments, Volume 1, Second Edition provides a general introduction to the philosophy, theory, and practice of designing scientific comparative experiments and also details the intricacies that are often encountered throughout the design and analysis processes. With the addition of extensive numerical examples and expanded treatment of key concepts, this book further addresses the needs of practitioners and successfully provides a solid understanding of the relationship between the quality of experimental design and the validity of conclusions. This Second Edition continues to provide the theoretical basis of the principles of experimental design in conjunction with the statistical framework within which to apply the fundamental concepts. The difference between experimental studies and observational studies is addressed, along with a discussion of the various components of experimental design: the error-control design, the treatment design, and the observation design. A series of error-control designs are presented based on fundamental design principles, such as randomization, local control (blocking), the Latin square principle, the split-unit principle, and the notion of factorial treatment structure. This book also emphasizes the practical aspects of designing and analyzing experiments and features: Increased coverage of the practical aspects of designing and analyzing experiments, complete with the steps needed to plan and construct an experiment A case study that explores the various types of interaction between both treatment and blocking factors, and numerical and graphical techniques are provided to analyze and interpret these interactions Discussion of the important distinctions between two types of blocking factors and their role in the process of drawing statistical inferences from an experiment A new chapter devoted entirely to repeated measures, highlighting its relationship to split-plot and split-block designs Numerical examples using SAS® to illustrate the analyses of data from various designs and to construct factorial designs that relate the results to the theoretical derivations Design and Analysis of Experiments, Volume 1, Second Edition is an ideal textbook for first-year graduate courses in experimental design and also serves as a practical, hands-on reference for statisticians and researchers across a wide array of subject areas, including biological sciences, engineering, medicine, pharmacology, psychology, and business.
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Author: Douglas C. Montgomery

Publisher: John Wiley & Sons

ISBN: 1119113474

Category: Experimental design

Page: 630

View: 4645

TRY (FREE for 14 days), OR RENT this title: www.wileystudentchoice.com Design and Analysis of Experiments, 9th Edition continues to help senior and graduate students in engineering, business, and statistics-as well as working practitioners-to design and analyze experiments for improving the quality, efficiency and performance of working systems. This bestselling 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.
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with applications to engineering and science

Author: Robert Lee Mason,Richard F. Gunst,James L. Hess

Publisher: John Wiley & Sons

ISBN: N.A

Category: Mathematics

Page: 692

View: 7446

A practical guide to statistical methods useful in designing and analyzing experiments. An introductory section provides background information. Part I presents elementary descriptive statistics and graphical displays. Part II addresses experimental design. Part III discusses analysis of data from each of the designs presented in Part II. Part IV is devoted to regression modelling.
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Advanced Experimental Design

Author: Klaus Hinkelmann,Oscar Kempthorne

Publisher: John Wiley & Sons

ISBN: 047170993X

Category: Mathematics

Page: 780

View: 7113

A comprehensive overview of experimental design at the advancedlevel The development and introduction of new experimental designs inthe last fifty years has been quite staggering and was broughtabout largely by an ever-widening field of applications. Design andAnalysis of Experiments, Volume 2: Advanced Experimental Design isthe second of a two-volume body of work that builds upon thephilosophical foundations of experimental design set forth half acentury ago by Oscar Kempthorne, and features the latestdevelopments in the field. Volume 1: An Introduction to Experimental Design introducedstudents at the MS level to the principles of experimental design,including the groundbreaking work of R. A. Fisher and Frank Yates,and Kempthorne's work in randomization theory with the developmentof derived linear models. Design and Analysis of Experiments,Volume 2 provides more detail about aspects of error control andtreatment design, with emphasis on their historical development andpractical significance, and the connections between them. Designedfor advanced-level graduate students and industry professionals,this text includes coverage of: Incomplete block and row-column designs Symmetrical and asymmetrical factorial designs Systems of confounding Fractional factorial designs, including main effect plans Supersaturated designs Robust design or Taguchi experiments Lattice designs Crossover designs In order to facilitate the application of text material to abroad range of fields, the authors take a general approach to theirdiscussions. To aid in the construction and analysis of designs,many procedures are illustrated using Statistical Analysis System(SAS®) software.
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Author: Angela M. Dean,Daniel Voss

Publisher: Springer Science & Business Media

ISBN: 0387985611

Category: Mathematics

Page: 742

View: 925

This book offers a step-by-step guide to the experimental planning process and the ensuing analysis of normally distributed data, emphasizing the practical considerations governing the design of an experiment. Data sets are taken from real experiments and sample SAS programs are included with each chapter. Experimental design is an essential part of investigation and discovery in science; this book will serve as a modern and comprehensive reference to the subject.
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The Statistical Design and Analysis of Chemical Experiments

Author: Leslie Davies

Publisher: N.A

ISBN: 9780851861371

Category: Science

Page: 180

View: 3002

This book provides an understanding of the subject and will prove an invaluable aid to both new and experienced experimenters in many different branches of chemistry.
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Author: John Lawson

Publisher: CRC Press

ISBN: 1420060600

Category: Mathematics

Page: 596

View: 7183

A culmination of the author’s many years of consulting and teaching, Design and Analysis of Experiments with SAS provides practical guidance on the computer analysis of experimental data. It connects the objectives of research to the type of experimental design required, describes the actual process of creating the design and collecting the data, shows how to perform the proper analysis of the data, and illustrates the interpretation of results. Drawing on a variety of application areas, from pharmaceuticals to machinery, the book presents numerous examples of experiments and exercises that enable students to perform their own experiments. Harnessing the capabilities of SAS 9.2, it includes examples of SAS data step programming and IML, along with procedures from SAS Stat, SAS QC, and SAS OR. The text also shows how to display experimental results graphically using SAS ODS graphics. The author emphasizes how the sample size, the assignment of experimental units to combinations of treatment factor levels (error control), and the selection of treatment factor combinations (treatment design) affect the resulting variance and bias of estimates as well as the validity of conclusions. This textbook covers both classical ideas in experimental design and the latest research topics. It clearly discusses the objectives of a research project that lead to an appropriate design choice, the practical aspects of creating a design and performing experiments, and the interpretation of the results of computer data analysis. SAS code and ancillaries are available at http://lawson.mooo.com
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Author: Donald Statler Villars

Publisher: N.A

ISBN: N.A

Category: Experimental design

Page: 455

View: 7096

Use of the calculating machine. Students t-test. Distribuitions and statistical significance. Analysis of variance. Principles od desing. Designs available. Analysis of covariance. Discontinuous data. The control chart. Sequential analysis. Miscellaneous refinements. Eficiency studies. Fundamental theory.
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Theory and Applications

Author: Ajit C. Tamhane

Publisher: John Wiley & Sons

ISBN: 1118491432

Category: Science

Page: 720

View: 7732

A indispensable guide to understanding and designing modern experiments The tools and techniques of Design of Experiments (DOE) allow researchers to successfully collect, analyze, and interpret data across a wide array of disciplines. Statistical Analysis of Designed Experiments provides a modern and balanced treatment of DOE methodology with thorough coverage of the underlying theory and standard designs of experiments, guiding the reader through applications to research in various fields such as engineering, medicine, business, and the social sciences. The book supplies a foundation for the subject, beginning with basic concepts of DOE and a review of elementary normal theory statistical methods. Subsequent chapters present a uniform, model-based approach to DOE. Each design is presented in a comprehensive format and is accompanied by a motivating example, discussion of the applicability of the design, and a model for its analysis using statistical methods such as graphical plots, analysis of variance (ANOVA), confidence intervals, and hypothesis tests. Numerous theoretical and applied exercises are provided in each chapter, and answers to selected exercises are included at the end of the book. An appendix features three case studies that illustrate the challenges often encountered in real-world experiments, such as randomization, unbalanced data, and outliers. Minitab® software is used to perform analyses throughout the book, and an accompanying FTP site houses additional exercises and data sets. With its breadth of real-world examples and accessible treatment of both theory and applications, Statistical Analysis of Designed Experiments is a valuable book for experimental design courses at the upper-undergraduate and graduate levels. It is also an indispensable reference for practicing statisticians, engineers, and scientists who would like to further their knowledge of DOE.
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Author: Gerald van Belle,Kathleen F. Kerr

Publisher: John Wiley & Sons

ISBN: 1118279719

Category: Mathematics

Page: 248

View: 2968

An accessible and practical approach to the design and analysis of experiments in the health sciences Design and Analysis of Experiments in the Health Sciences provides a balanced presentation of design and analysis issues relating to data in the health sciences and emphasizes new research areas, the crucial topic of clinical trials, and state-of-the- art applications. Advancing the idea that design drives analysis and analysis reveals the design, the book clearly explains how to apply design and analysis principles in animal, human, and laboratory experiments while illustrating topics with applications and examples from randomized clinical trials and the modern topic of microarrays. The authors outline the following five types of designs that form the basis of most experimental structures: Completely randomized designs Randomized block designs Factorial designs Multilevel experiments Repeated measures designs A related website features a wealth of data sets that are used throughout the book, allowing readers to work hands-on with the material. In addition, an extensive bibliography outlines additional resources for further study of the presented topics. Requiring only a basic background in statistics, Design and Analysis of Experiments in the Health Sciences is an excellent book for introductory courses on experimental design and analysis at the graduate level. The book also serves as a valuable resource for researchers in medicine, dentistry, nursing, epidemiology, statistical genetics, and public health.
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Author: Jagdish Narain Srivastava

Publisher: North-Holland

ISBN: N.A

Category: Science

Page: 699

View: 8840

Designs and estimators for variance components; Combined intra-and inter-block estimation of treatment effects in incomplete block designs; Updating methods for linear models for the addition or deletion of observations; Approaches in sequential design of experiments; Two recent areas of sample survey research; Fitting and looking at linear and log linear fits; Tests of model specification based on residuals; Minimal unbiased designs for linear parametric functions; Optimal experimental designs for discriminating two rival regression models; Multivariate statistical inference under marginal structure; The availability of tables useful in analyzing linear models; Data monitoring criteria for linear models; Computing optimum designs for covariance models;Repeated measurement designs I; Design of genetical experiments; Recent developments in randomized response designs; Robustness and designs.
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Author: Samuel M. Scheiner,Jessica Gurevitch

Publisher: Oxford University Press

ISBN: 9780198030225

Category: Science

Page: 432

View: 5164

Ecological research and the way that ecologists use statistics continues to change rapidly. This second edition of the best-selling Design and Analysis of Ecological Experiments leads these trends with an update of this now-standard reference book, with a discussion of the latest developments in experimental ecology and statistical practice. The goal of this volume is to encourage the correct use of some of the more well known statistical techniques and to make some of the less well known but potentially very useful techniques available. Chapters from the first edition have been substantially revised and new chapters have been added. Readers are introduced to statistical techniques that may be unfamiliar to many ecologists, including power analysis, logistic regression, randomization tests and empirical Bayesian analysis. In addition, a strong foundation is laid in more established statistical techniques in ecology including exploratory data analysis, spatial statistics, path analysis and meta-analysis. Each technique is presented in the context of resolving an ecological issue. Anyone from graduate students to established research ecologists will find a great deal of new practical and useful information in this current edition.
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Author: Jack P.C. Kleijnen

Publisher: Springer

ISBN: 3319180878

Category: Business & Economics

Page: 322

View: 6399

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)
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