Experimental Design
With Application in Management, Engineering, and the Sciences.
- © 2018
- Latest edition
- Paul D. Berger 0 ,
- Robert E. Maurer 1 ,
- Giovana B. Celli 2
Bentley University, Waltham, USA
You can also search for this author in PubMed Google Scholar
Questrom School of Business, Boston University, Boston, USA
Cornell university, ithaca, usa.
- Covers design of experiments for a broad audience and is accessible for those who have little experience
- Contains exercises at the end of each chapter that make it a good alternative as a course reference
- Includes an in-depth presentation of 2^k and 2^(k-p) designs and their use in practice, and an introduction to Taguchi methods
- Provides downloadable data sets and a solutions manual for instructors
- Includes supplementary material: sn.pub/extras
- Request lecturer material: sn.pub/lecturer-material
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About this book
This text introduces and provides instruction on the design and analysis of experiments for a broad audience. Formed by decades of teaching, consulting, and industrial experience in the Design of Experiments field, this new edition contains updated examples, exercises, and situations covering the science and engineering practice. This text minimizes the amount of mathematical detail, while still doing full justice to the mathematical rigor of the presentation and the precision of statements, making the text accessible for those who have little experience with design of experiments and who need some practical advice on using such designs to solve day-to-day problems. Additionally, an intuitive understanding of the principles is always emphasized, with helpful hints throughout.
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Table of contents (18 chapters)
Front matter, introduction to experimental design.
- Paul D. Berger, Robert E. Maurer, Giovana B. Celli
Statistical Principles for Design of Experiments
One-factor designs and the analysis of variance, some further issues in one-factor designs and anova, multiple-comparison testing, orthogonality, orthogonal decomposition, and their role in modern experimental design, identifying active factors, two-factor cross-classification designs, nested, or hierarchical, designs.
- Paul Berger, Robert Maurer, Giovana B. Celli
Designs with Three or More Factors: Latin-Square and Related Designs
Studying factors’ effects, two-level factorial designs, confounding/blocking in 2 k designs, two-level fractional-factorial designs, designs with factors at three levels, introduction to taguchi methods, regression analysis, response surface designs, and other topics, introduction to simple regression, multiple linear regression, authors and affiliations.
Paul D. Berger
Robert E. Maurer
Giovana B. Celli
About the authors
Dr. Paul D. Berger has been teaching Experimental Design at the Massachusetts Institute of Technology for over 40 years and continues to do so. He had an academic appointment for 37 years at Boston University and has had an academic appointment for the last 10 years at Bentley University. He is currently the Director of Bentley University’s Master of Science in Marketing Analytics (MSMA) program, in which he also teaches Experimental Design, as well as Marketing Research and Statistics. He is the author of over 200 peer-reviewed articles and conference proceedings, as well as six texts, his latest in 2015, co-authored with Michael Fritz, Improving the User Experience Through Practical Data Analytics. His research has been incorporated into Government-agency reports and presented at conferences worldwide. In 2015, he taught his Experimental Design class at a Deakin University in Melbourne, Australia. Professor Berger continues to provide consulting services in thearea of Experimental Design and Quantitative Methods/Statistics in general to numerous companies. His clients have included companies such as Duracell®, Gillette®, Texas Instruments, and many others; in addition, Professor Berger has provided consulting services internationally, including in China, Japan, India, and Argentina.
Dr. Robert E. Maurer has more than 35 years of industrial experience at Bell Telephone Laboratories. For most of that period, in collaboration with the National Security Agency, he worked on protecting domestic radio and satellite communications, and ultimately led the development and deployment of the largest (in terms of the amount of traffic protected) communications-security system ever installed by anyone anywhere at the time. After that, he collaborated with Walter G. Deeley, the Deputy Director for Communications Security at NSA, to demonstrate the feasibility of a secure-voice terminal (STU 3) for classified point-to-point communications. Finally, he led the AT&T STU 3 development program. In his last assignment, he was responsible for process and product design and manufacture of a several-hundred-million-dollar product line of hybrid integrated circuits. Through his initiative and guidance, the disciplines of statistical process control and experimental design were deployed throughout his organization, leading to improved quality and reduced cost. Dr. Maurer has more than 35 years of experience teaching in the areas of statistical communication theory at the Graduate School of Engineering at Northeastern University and a variety of quantitative courses at the Questrom School of Management at Boston University. He has published numerous papers and hold patents in the communications and encryption areas. Dr. Maurer earned his Bachelor and Master of Science and Doctoral degrees in Electric Engineering from Northeastern University, and an MBA from Boston University.
Dr. Giovana B. Celli is a consultant for Brazilian and Canadian companies and is currently a Postdoctoral Researcher at the Department of Food Science at Cornell University. She has been working as food technologist and researcher for over eight years, and has developed several products currently on the market. She has also mentored and co-advised several students and researchers on design of experiments and has served as an invited reviewer for various pharmaceutical and food-related journals. Dr. Celli earned her Bachelor degree in Pharmacy and Master degree in Food Technology from Universidade Federal do Paraná (Brazil) and Doctoral degree in Biological Engineering from Dalhousie University (Canada). She met Dr. Berger at the Professional Education course in Design and Analysis of Experiments, at MIT.
Bibliographic Information
Book Title : Experimental Design
Book Subtitle : With Application in Management, Engineering, and the Sciences.
Authors : Paul D. Berger, Robert E. Maurer, Giovana B. Celli
DOI : https://doi.org/10.1007/978-3-319-64583-4
Publisher : Springer Cham
eBook Packages : Mathematics and Statistics , Mathematics and Statistics (R0)
Copyright Information : Springer International Publishing AG 2018
Softcover ISBN : 978-3-319-64582-7 Published: 07 December 2017
eBook ISBN : 978-3-319-64583-4 Published: 28 November 2017
Edition Number : 2
Number of Pages : XVIII, 639
Number of Illustrations : 9 b/w illustrations, 150 illustrations in colour
Topics : Statistical Theory and Methods , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
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Experimental Research Design: A Play of Variables
2011, Journal of NELTA Surkhet Vol. 2
Experimental research is a quantitative and empirical research carried out on the philosophical basis of positivism. It is based on the experimental manipulation of the research variables during the study. A number of scientifically agreed steps are carried out from the formulation of research problems to writing the research report in experimental design. In this article different experimental designs including pre-experimental designs, true experimental designs, and quasi-experimental designs are identified and illustrated comprehensively. This article provides a rationale foe carrying out different kinds of experimental research designs in different social contexts. It discusses varied variables as the central manipulative and static devices in experiments. Finally internal and external validity in experimental research design is described followed by potential threats to validity and some suggestions to avoid such threats jeopardizing validity of experimental research.
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P. Cash et al. (eds.), Experimental Design Research, DOI 10.1007/978-3-319-33781-4_1. Abstract Design research brings together influences from the whole gamut of. social, psychological, and more ...
This book focuses on experimental research in two disciplines that have a lot of common ground in terms of theory, experimental designs used, and methods for the analysis of experimental research ...
Experimental design research thus offers a powerful tool and platform for resolving these challenges. Providing an invaluable resource for the design research community, this book paves the way for the next generation of researchers in the field by bridging methods and methodology.
Contents Preface xvii 1 Introduction 1 1.1 Why Experiment? . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Components of an Experiment . . . . . . . . . . . . . . . 4
About this book. This book presents a new, multidisciplinary perspective on and paradigm for integrative experimental design research. It addresses various perspectives on methods, analysis and overall research approach, and how they can be synthesized to advance understanding of design. It explores the foundations of experimental approaches ...
Figure 2. Example of the process of research A designed experiment must satisfy all requirements of the objectives of a study but is also subject to the limitations of available resources. Below we will give examples of how the objective and hypothesis of a study influences the design of an experiment. 1. 4. 2. Objectives and experimental design
CHAPTER 5 Experimental Design 71 In this book, we focus exclusively on experimental design because experimentation is the single best approach for determining causal relationships, and we believe that mastery of experimental methods is an important goal for all students of psychology. We begin our
However, the term "research design" typically does not refer to the issues discussed above. The term "experimental research design" is centrally concerned with constructing research that is high in causal (or internal) validity. Causal validity concerns the accuracy of statements regarding cause and efect relationships.
In experimental design research, these discussions are nascent and form a major reason for the development of this book. Core to this endeavour is the realisation that experimental design research concerns human beings and thus faces a set of challenges not fully reflected by discussions of experimentation in the natural sciences (Radder 2003 ...
experimental research designs to determine whether there is a causal relationship between the treatment and the outcome. This chapter outlines key features and provides examples of common experimental and quasi-experimental research designs. We also make recommendations for how experimental designs might best be applied and utilized within
His primary area of research is the field of vision using all sorts of experimental designs including psychophysical methods, TMS, EEG, and mathematical modeling. Greg Francis is a professor of Psychological Sciences at Purdue University. His primary area of research develops and tests computational neural network models of human visual perception.
Research on Teaching, published by Rand McNally & Company in 1963, under the longer tide "Experimental and Quasi-Experimental Designs for Research on Teaching." As a result, the introductory pages and many of the illustrations come from educational research. But as a study of the references will indicat<:,the survey. draws from the social sciences
The fourth book in The SAGE Quantitative Research Kit, this resource covers the basics of designing and conducting basic experiments, outlining the various types of experimental designs available ...
156 Chapter 6: Quantitative Research Designs: Experimental, Quasi-Experimental, and Descriptive 9781284126464_CH06_PASS02.indd 156 12/01/17 2:53 pm ... a bit from book to book. First are experimental designs with an in tervention, control group, and randomization of participants into groups.
But because experimental designs are the best way to evaluate causal hypothe-ses, a better understanding of them will help you to be aware of the strengths and weaknesses of other research designs that we will consider in subsequent chapters. CAUSAL EXPLANATION A cause is an explanation for some characteristic, attitude, or behavior of groups,
more extensive description of other experimental designs, the reader is directed to research design works such as Campbell (1957); Campbell and Stanley (1963); Creswell (2003); Gall et al. (2005); Shadish et al. (2002); and Thompson (2006). The first true experimental design is known as the Pretest-Posttest Control-Group Design. This research ...
To some people, experimental research is the highest peak of scientific research. To . others, it is the valley of darkness through which promising scientists must walk before they can do meaningful research. To most researchers, experimental research. is . the general label applied to methods developed for the specific purpose of testing causal
experimental research design. 13.1 An Overview of Quasi-Experimental Designs In this major section, we introduce a common type of research design called the quasi-experimental research design. The quasi-experimental research design, also defined in A quasi-experimental research design is the use of methods and procedures to make observations in
other designs are measured (Thompson & Panacek, 2006). There are many elaborations on these basic designs; the most common of these will be explained. Basic Experimental Designs The simplest experimental design tests just one treatment that is compared with a no-treatment condition. Subjects (or participants, a term preferred by those who dis-
About this book. This text introduces and provides instruction on the design and analysis of experiments for a broad audience. Formed by decades of teaching, consulting, and industrial experience in the Design of Experiments field, this new edition contains updated examples, exercises, and situations covering the science and engineering practice.
Rajan Kumar Kandel. 2011, Journal of NELTA Surkhet Vol. 2. Experimental research is a quantitative and empirical research carried out on the philosophical basis of positivism. It is based on the experimental manipulation of the research variables during the study. A number of scientifically agreed steps are carried out from the formulation of ...
PDF | On Jan 1, 2003, S.M. Ross and others published Experimental Research Methods | Find, read and cite all the research you need on ResearchGate Book PDF Available Experimental Research Methods
Design of experiment means how to design an experiment in the sense that how the observations or measurements should be obtained to answer a query in a valid, efficient and economical way. The designing of the experiment and the analysis of obtained data are inseparable. If the experiment is designed properly keeping in mind the question, then ...
View PDF; Download full issue; Search ScienceDirect. ... The groundbreaking study conducted by Shepherd [20] marked an early milestone in plain FTHE research. Since then, numerous experimental and numerical studies have ... The Custom Design module is a flexible experimental design tool that allows the selection of different levels of numeric ...