Fundamentals Of Statistical Experimental Design And Analysis

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Fundamentals of Statistical Experimental Design and Analysis

Author : Robert G. Easterling
Publisher : John Wiley & Sons
Page : 272 pages
File Size : 50,9 Mb
Release : 2015-10-23
Category : Mathematics
ISBN : 9781118954652

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Fundamentals of Statistical Experimental Design and Analysis by Robert G. Easterling Pdf

Professionals in all areas – business; government; thephysical, life, and social sciences; engineering; medicine, etc.– benefit from using statistical experimental design tobetter understand their worlds and then use that understanding toimprove the products, processes, and programs they are responsiblefor. This book aims to provide the practitioners of tomorrow with amemorable, easy to read, engaging guide to statistics andexperimental design. This book uses examples, drawn from a variety of established texts,and embeds them in a business or scientific context, seasoned witha dash of humor, to emphasize the issues and ideas that led to theexperiment and the what-do-we-do-next? steps after theexperiment. Graphical data displays are emphasized as means ofdiscovery and communication and formulas are minimized, with afocus on interpreting the results that software produce. The roleof subject-matter knowledge, and passion, is also illustrated. Theexamples do not require specialized knowledge, and the lessons theycontain are transferrable to other contexts. Fundamentals of Statistical Experimental Design and Analysisintroduces the basic elements of an experimental design, and thebasic concepts underlying statistical analyses. Subsequent chaptersaddress the following families of experimental designs: Completely Randomized designs, with single or multipletreatment factors, quantitative or qualitative Randomized Block designs Latin Square designs Split-Unit designs Repeated Measures designs Robust designs Optimal designs Written in an accessible, student-friendly style, this book issuitable for a general audience and particularly for thoseprofessionals seeking to improve and apply their understanding ofexperimental design.

Fundamentals of Statistical Experimental Design and Analysis

Author : Robert G. Easterling
Publisher : John Wiley & Sons
Page : 268 pages
File Size : 46,9 Mb
Release : 2015-09-08
Category : Mathematics
ISBN : 9781118954638

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Fundamentals of Statistical Experimental Design and Analysis by Robert G. Easterling Pdf

Professionals in all areas – business; government; the physical, life, and social sciences; engineering; medicine, etc. – benefit from using statistical experimental design to better understand their worlds and then use that understanding to improve the products, processes, and programs they are responsible for. This book aims to provide the practitioners of tomorrow with a memorable, easy to read, engaging guide to statistics and experimental design. This book uses examples, drawn from a variety of established texts, and embeds them in a business or scientific context, seasoned with a dash of humor, to emphasize the issues and ideas that led to the experiment and the what-do-we-do-next? steps after the experiment. Graphical data displays are emphasized as means of discovery and communication and formulas are minimized, with a focus on interpreting the results that software produce. The role of subject-matter knowledge, and passion, is also illustrated. The examples do not require specialized knowledge, and the lessons they contain are transferrable to other contexts. Fundamentals of Statistical Experimental Design and Analysis introduces the basic elements of an experimental design, and the basic concepts underlying statistical analyses. Subsequent chapters address the following families of experimental designs: Completely Randomized designs, with single or multiple treatment factors, quantitative or qualitative Randomized Block designs Latin Square designs Split-Unit designs Repeated Measures designs Robust designs Optimal designs Written in an accessible, student-friendly style, this book is suitable for a general audience and particularly for those professionals seeking to improve and apply their understanding of experimental design.

Research Design & Statistical Analysis

Author : Arnold D. Well,Jerome L. Myers
Publisher : Psychology Press
Page : 871 pages
File Size : 45,5 Mb
Release : 2003-01-30
Category : Psychology
ISBN : 9781135641085

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Research Design & Statistical Analysis by Arnold D. Well,Jerome L. Myers Pdf

"Free CD contains several real and artificial data sets used in the book in SPSS, SYSTAT, and ASCII formats"--Cover.

Understanding Statistics and Experimental Design

Author : Michael H. Herzog,Gregory Francis,Aaron Clarke
Publisher : Springer
Page : 146 pages
File Size : 42,9 Mb
Release : 2019-08-13
Category : Science
ISBN : 9783030034993

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Understanding Statistics and Experimental Design by Michael H. Herzog,Gregory Francis,Aaron Clarke Pdf

This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.

Design and Analysis of Experiments, Introduction to Experimental Design

Author : Klaus Hinkelmann,Oscar Kempthorne
Publisher : John Wiley & Sons
Page : 528 pages
File Size : 55,9 Mb
Release : 1994-03-22
Category : Mathematics
ISBN : 0471551783

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Design and Analysis of Experiments, Introduction to Experimental Design by Klaus Hinkelmann,Oscar Kempthorne Pdf

Design and analysis of experiments/Hinkelmann.-v.1.

Quasi-Experimentation

Author : Charles S. Reichardt
Publisher : Guilford Publications
Page : 382 pages
File Size : 54,6 Mb
Release : 2019-09-02
Category : Business & Economics
ISBN : 9781462540204

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Quasi-Experimentation by Charles S. Reichardt Pdf

Featuring engaging examples from diverse disciplines, this book explains how to use modern approaches to quasi-experimentation to derive credible estimates of treatment effects under the demanding constraints of field settings. Foremost expert Charles S. Reichardt provides an in-depth examination of the design and statistical analysis of pretest-posttest, nonequivalent groups, regression discontinuity, and interrupted time-series designs. He details their relative strengths and weaknesses and offers practical advice about their use. Reichardt compares quasi-experiments to randomized experiments and discusses when and why the former might be a better choice. Modern moethods for elaborating a research design to remove bias from estimates of treatment effects are described, as are tactics for dealing with missing data and noncompliance with treatment assignment. Throughout, mathematical equations are translated into words to enhance accessibility.

Statistical Analysis of Designed Experiments

Author : Helge Toutenburg,Shalabh
Publisher : Springer Science & Business Media
Page : 507 pages
File Size : 42,8 Mb
Release : 2006-05-09
Category : Mathematics
ISBN : 9780387227726

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Statistical Analysis of Designed Experiments by Helge Toutenburg,Shalabh Pdf

Unique in commencing with relatively simple statistical concepts and ideas found in most introductory statistical textbooks, this book goes on to cover more material useful for undergraduates and graduate in statistics and biostatistics.

Experimental Design and Statistics

Author : Steve Miller
Publisher : Routledge
Page : 158 pages
File Size : 44,6 Mb
Release : 2005-07-25
Category : Psychology
ISBN : 9781134954636

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Experimental Design and Statistics by Steve Miller Pdf

The distinguishing feature of experimental psychology is not so much the nature of its theories as the methods used to test their validity. The first edition of Experimental Design and Statistics provided a clear and lucid introduction to these methods and the statistical techniques which support them. For this new edition the text has been revised, the coverage of two-sample tests has been extended, and new sections have been added introducing one-sample tests, linear regression and the product-moment correlation coefficient. Problems associated with the applications of experimental design and how to use observations of behaviour in research are key questions for all introductory students of psychology. This new and expanded edition provides them with an invaluable text and source.

Design and Analysis of Experiments, Volume 1

Author : Klaus Hinkelmann,Oscar Kempthorne
Publisher : John Wiley & Sons
Page : 640 pages
File Size : 47,9 Mb
Release : 2007-12-04
Category : Mathematics
ISBN : 9780470191743

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Design and Analysis of Experiments, Volume 1 by Klaus Hinkelmann,Oscar Kempthorne Pdf

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.

Research Design & Statistical Analysis

Author : Arnold D. Well,Jerome L. Myers
Publisher : Psychology Press
Page : 1280 pages
File Size : 42,6 Mb
Release : 2003-01-30
Category : Psychology
ISBN : 9781135641078

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Research Design & Statistical Analysis by Arnold D. Well,Jerome L. Myers Pdf

This book emphasizes the statistical concepts and assumptions necessary to describe and make inferences about real data. Throughout the book the authors encourage the reader to plot and examine their data, find confidence intervals, use power analyses to determine sample size, and calculate effect sizes. The goal is to ensure the reader understands the underlying logic and assumptions of the analysis and what it tells them, the limitations of the analysis, and the possible consequences of violating assumptions. The simpler, less abstract discussion of analysis of variance is presented prior to developing the more general model. A concern for alternatives to standard analyses allows for the integration of non-parametric techniques into relevant design chapters, rather than in a single, isolated chapter. This organization allows for the comparison of the pros and cons of alternative procedures within the research context to which they apply. Basic concepts, such as sampling distributions, expected mean squares, design efficiency, and statistical models are emphasized throughout. This approach provides a stronger conceptual foundation in order to help the reader generalize the concepts to new situations they will encounter in their research and to better understand the advice of statistical consultants and the content of articles using statistical methodology. The second edition features a greater emphasis on graphics, confidence intervals, measures of effect size, power analysis, tests of contrasts, elementary probability, correlation, and regression. A Free CD that contains several real and artificial data sets used in the book in SPSS, SYSTAT, and ASCII formats, is included in the back of the book. An Instructor's Solutions Manual, containing the intermediate steps to all of the text exercises, is available free to adopters.

Design of Experiments for Engineers and Scientists

Author : Jiju Antony
Publisher : Elsevier
Page : 296 pages
File Size : 41,7 Mb
Release : 2023-06-02
Category : Technology & Engineering
ISBN : 9780443151743

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Design of Experiments for Engineers and Scientists by Jiju Antony Pdf

This third edition of Design of Experiments for Engineers and Scientists adds to the tried and trusted tools that were successful in so many engineering organizations with new coverage of design of experiments (DoE) in the service sector. Case studies are updated throughout, and new ones are added on dentistry, higher education, and utilities. Although many books have been written on DoE for statisticians, this book overcomes the challenges a wider audience faces in using statistics by using easy-to-read graphical tools. Readers will find the concepts in this book both familiar and easy to understand, and users will soon be able to apply them in their work or research. This classic book is essential reading for engineers and scientists from all disciplines tackling all kinds of product and process quality problems and will be an ideal resource for students of this topic. Written in nonstatistical language, the book is an essential and accessible text for scientists and engineers who want to learn how to use DoE Explains why teaching DoE techniques in the improvement phase of Six Sigma is an important part of problem-solving methodology New edition includes two new chapters on DoE for services as well as case studies illustrating its wider application in the service industry

Design and Analysis of Experiments

Author : Oscar Kempthorne
Publisher : John Wiley & Sons
Page : 664 pages
File Size : 45,7 Mb
Release : 1952-01-15
Category : Mathematics
ISBN : UOM:39015002328659

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Design and Analysis of Experiments by Oscar Kempthorne Pdf

The principles of experimental design. An introduction to the therory of least squares. The general lenear hypothesis or multiple regression and the analysis of variance. The analysis of multipli classifications. Randomization. The valdity of analysis of randomized experiments. Randomized. Latin squares. Plot technique. The sensitivity of randomized blook and latin square experiments. Experiments involving sevaral factors. Confonding in 2 factorial experiments. Partial confounding in 2 factorial experiments. Experiments involving factors with 3 levels. The general p factorial system. Other factorial experiments. Split-plot experiments. Fractional replication. The general case of fractional replication. Quasifactorial or latice and incomplete block designs. Lattice designs. Lattice designs with two restrictions. Rectangular lattices. Balanced incomplete block designs. Partially balanced incomplete block designs.Experiments on infinite populations and groups of experiments. Treatments applied in sequence.

Modern Experimental Design

Author : Thomas P. Ryan
Publisher : John Wiley & Sons
Page : 624 pages
File Size : 54,7 Mb
Release : 2007-02-02
Category : Mathematics
ISBN : 9780471210771

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Modern Experimental Design by Thomas P. Ryan Pdf

A complete and well-balanced introduction to modern experimental design Using current research and discussion of the topic along with clear applications, Modern Experimental Design highlights the guiding role of statistical principles in experimental design construction. This text can serve as both an applied introduction as well as a concise review of the essential types of experimental designs and their applications. Topical coverage includes designs containing one or multiple factors, designs with at least one blocking factor, split-unit designs and their variations as well as supersaturated and Plackett-Burman designs. In addition, the text contains extensive treatment of: Conditional effects analysis as a proposed general method of analysis Multiresponse optimization Space-filling designs, including Latin hypercube and uniform designs Restricted regions of operability and debarred observations Analysis of Means (ANOM) used to analyze data from various types of designs The application of available software, including Design-Expert, JMP, and MINITAB This text provides thorough coverage of the topic while also introducing the reader to new approaches. Using a large number of references with detailed analyses of datasets, Modern Experimental Design works as a well-rounded learning tool for beginners as well as a valuable resource for practitioners.

How to Design and Report Experiments

Author : Andy Field,Graham Hole
Publisher : SAGE
Page : 384 pages
File Size : 48,5 Mb
Release : 2002-12-20
Category : Psychology
ISBN : 9781847872982

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How to Design and Report Experiments by Andy Field,Graham Hole Pdf

How to Design and Report Experiments is the perfect textbook and guide to the often bewildering world of experimental design and statistics. It provides a complete map of the entire process beginning with how to get ideas about research, how to refine your research question and the actual design of the experiment, leading on to statistical procedure and assistance with writing up of results. While many books look at the fundamentals of doing successful experiments and include good coverage of statistical techniques, this book very importantly considers the process in chronological order with specific attention given to effective design in the context of likely methods needed and expected results. Without full assessment of these aspects, the experience and results may not end up being as positive as one might have hoped. Ample coverage is then also provided of statistical data analysis, a hazardous journey in itself, and the reporting of findings, with numerous examples and helpful tips of common downfalls throughout. Combining light humour, empathy with solid practical guidance to ensure a positive experience overall, Designing and Reporting Experiments will be essential reading for students in psychology and those in cognate disciplines with an experimental focus or content in research methods courses.

Design and Analysis of Experiments, Volume 2

Author : Klaus Hinkelmann,Oscar Kempthorne
Publisher : Wiley-Interscience
Page : 824 pages
File Size : 43,6 Mb
Release : 1994
Category : Mathematics
ISBN : UOM:39015063260064

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Design and Analysis of Experiments, Volume 2 by Klaus Hinkelmann,Oscar Kempthorne Pdf

This volume builds upon the foundations made by the first volume, and provides more detail on certain aspects of error control, treatment designs, and the connections between them.