Experimental Design - Berger Paul D.; Maurer Robert E.; Celli Giovana B. | Libro Springer 12/2017 - HOEPLI.it


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berger paul d.; maurer robert e.; celli giovana b. - experimental design

Experimental Design With Application in Management, Engineering, and the Sciences.

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 12/2017
Edizione: 2nd ed. 2018





Sommario

PREFACE
Chapter 1 – Introduction to experimental design
PART I – Statistical principles on design of experiments
Chapter 2 – One-factor designs and the analysis of variance
Chapter 3 – Some further considerations on one-factor design and ANOVA
Chapter 4 – Multiple-comparison testing
Chapter 5 – Orthogonality, orthogonal decomposition, and their role in modern experimental design
PART II –  Identifying active factors
Chapter 6 – Two-factor cross-classification designs
Chapter 7 – Nested, or hierarchical, designs
Chapter 8 – Designs with three or more factors: Latin-square and related designs
PART III – Studying factors’ effects (suggestion)
Chapter 9 – Two-level factorial designs
Chapter 10 – Confounding/blocking in 2k designs
Chapter 11 – Two-level fractional-factorial designs
Chapter 12 – Designs with factors at three levels
Chapter 13 – Introduction to Taguchi methods
PART IV – Regression analysis, surface designs, and other topics
Chapter 14 – Simple regression
Chapter 15 – Multiple and step-wise regression
Chapter 16 – Introduction to Response-Surface Methodology
Chapter 17 – Introduction to mixture design and triangular surfaces
Chapter 18 – Literature on experimental design and discussion of some topics not covered in the text




Trama

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. 
 





Autore

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 the area 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.









Altre Informazioni

ISBN:

9783319645827

Condizione: Nuovo
Dimensioni: 235 x 155 mm Ø 9825 gr
Formato: Brossura
Illustration Notes:9 Illustrations, black and white
Pagine Arabe: 639
Pagine Romane: xviii






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