Design of Experiments for Engineers and Scientists PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Design of Experiments for Engineers and Scientists PDF full book. Access full book title Design of Experiments for Engineers and Scientists by Jiju Antony. Download full books in PDF and EPUB format.
Author: Jiju Antony Publisher: Elsevier ISBN: 0443151741 Category : Technology & Engineering Languages : en Pages : 296
Book Description
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
Author: Jiju Antony Publisher: Elsevier ISBN: 0443151741 Category : Technology & Engineering Languages : en Pages : 296
Book Description
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
Author: Jon DiPietro Publisher: Momentum Press ISBN: 1606502530 Category : Technology & Engineering Languages : en Pages : 228
Book Description
This book explores the rising phenomena of internet-based social networking and discusses the particular challenges faced by engineers and scientists in adapting to this new, content-centric environment. Social networks are both a blessing and a curse to the engineer and scientist. The blessings are apparent: the abundance of free applications and their increasing mobility and transportability. The curse is that creating interesting and compelling content on these user-driven systems is best served by right-brain skills. But most engineers and scientists are left-brain oriented, have generally shunned the right-brain skills like graphic design and creative writing as being indulgent and time wasting. The problem is, those are exactly the skills required to create compelling content. This book will help engineers and scientists re-acquire those right-brain skills and put them to best use in the new world of internet-based social media technologies. The reader will benefit from: * An emphasis on the growing role that social media technology -like Facebook, LinkedIn, Twitter, will play in professions like science and engineering. * The "How to" in understanding the importance of continuous streaming of content over time for both professional presence and for collaborative effort--the key in today's team approach to engineering and science. * The valuable help for quantitative people like engineers and scientists in setting up social media sites, requiring qualitative skills.
Author: Leo Finkelstein Publisher: McGraw-Hill Science, Engineering & Mathematics ISBN: 9780072976830 Category : Technical writing Languages : en Pages : 0
Book Description
The focus of this text is to teach engineering students the skill of technical writing. It uses practical outlines throughout, and actually shows students how to producethe most common technical documents step-by-step.
Author: Shreeram Shankar Abhyankar Publisher: American Mathematical Soc. ISBN: 0821815350 Category : Mathematics Languages : en Pages : 311
Book Description
Based on lectures presented in courses on algebraic geometry taught by the author at Purdue University, this book covers various topics in the theory of algebraic curves and surfaces, such as rational and polynomial parametrization, functions and differentials on a curve, branches and valuations, and resolution of singularities.
Author: Gary J. Bronson Publisher: Course Technology ISBN: Category : C++ (Computer program language) Languages : en Pages : 844
Book Description
Bronson's second edition makes C++ accessible to first-level engineering students. The book teaches the fundamentals of the C++ language with a gradual refinement of programming skills from procedural to object-oriented. Part One presents procedural programming with an emphasis on modular program design. Part Two, on object-oriented programming, and Part Three, on data structures, are interchangeable to allow for teaching flexibility. In addition, students are introduced to the fundamentals of software engineering with an emphasis on problem-solving techniques, making the text an ideal choice for both one- and two-semester C++ programming courses.
Author: Edward L. Robinson Publisher: Princeton University Press ISBN: 0691169926 Category : Science Languages : en Pages : 408
Book Description
Data Analysis for Scientists and Engineers is a modern, graduate-level text on data analysis techniques for physical science and engineering students as well as working scientists and engineers. Edward Robinson emphasizes the principles behind various techniques so that practitioners can adapt them to their own problems, or develop new techniques when necessary. Robinson divides the book into three sections. The first section covers basic concepts in probability and includes a chapter on Monte Carlo methods with an extended discussion of Markov chain Monte Carlo sampling. The second section introduces statistics and then develops tools for fitting models to data, comparing and contrasting techniques from both frequentist and Bayesian perspectives. The final section is devoted to methods for analyzing sequences of data, such as correlation functions, periodograms, and image reconstruction. While it goes beyond elementary statistics, the text is self-contained and accessible to readers from a wide variety of backgrounds. Specialized mathematical topics are included in an appendix. Based on a graduate course on data analysis that the author has taught for many years, and couched in the looser, workaday language of scientists and engineers who wrestle directly with data, this book is ideal for courses on data analysis and a valuable resource for students, instructors, and practitioners in the physical sciences and engineering. In-depth discussion of data analysis for scientists and engineers Coverage of both frequentist and Bayesian approaches to data analysis Extensive look at analysis techniques for time-series data and images Detailed exploration of linear and nonlinear modeling of data Emphasis on error analysis Instructor's manual (available only to professors)
Author: Brian D. Hahn Publisher: Butterworth-Heinemann ISBN: 0750652403 Category : Computers Languages : en Pages : 304
Book Description
"This completely revised new edition is based on the lastest version of MATLAB. New chapters cover handle graphics, graphical user interfaces (GUIs), structures and cell arrays, and importing/exporting data. The chapter on numerical methods now includes a general GUI-driver ODE solver."--Jacket.
Author: Kathleen R. Allen Publisher: Pearson ISBN: 9780132357272 Category : Business planning Languages : en Pages : 0
Book Description
KEY BENEFIT Essential business lessons for turning today's scientists and engineers into entrepreneurs in new technology companies. In today's global and interconnected world, students with a science or engineering background have ample opportunity to mesh their technical know-how with the free market. Yet, these same students lack the basic business skills to make competent business decisions. This book seeks to make students' first experience with entrepreneurship interesting and useful. KEY TOPICS Technology Entrepreneurship for Scientists and Engineers; Developing and Protecting Intellectual Property; Technology Entrepreneurship Strategy; Start-up Financial Strategy As the source of new discoveries and technologies, scientists and engineers are uniquely positioned to launch new business ventures based on cutting-edge discoveries. This book will teach those with no prior training how to start a company and grow their business through marketing and astute team building techniques.
Author: Adrian A. Hopgood Publisher: CRC Press ISBN: 1466516178 Category : Computers Languages : en Pages : 455
Book Description
The third edition of this bestseller examines the principles of artificial intelligence and their application to engineering and science, as well as techniques for developing intelligent systems to solve practical problems. Covering the full spectrum of intelligent systems techniques, it incorporates knowledge-based systems, computational intelligence, and their hybrids. Using clear and concise language, Intelligent Systems for Engineers and Scientists, Third Edition features updates and improvements throughout all chapters. It includes expanded and separated chapters on genetic algorithms and single-candidate optimization techniques, while the chapter on neural networks now covers spiking networks and a range of recurrent networks. The book also provides extended coverage of fuzzy logic, including type-2 and fuzzy control systems. Example programs using rules and uncertainty are presented in an industry-standard format, so that you can run them yourself. The first part of the book describes key techniques of artificial intelligence—including rule-based systems, Bayesian updating, certainty theory, fuzzy logic (types 1 and 2), frames, objects, agents, symbolic learning, case-based reasoning, genetic algorithms, optimization algorithms, neural networks, hybrids, and the Lisp and Prolog languages. The second part describes a wide range of practical applications in interpretation and diagnosis, design and selection, planning, and control. The author provides sufficient detail to help you develop your own intelligent systems for real applications. Whether you are building intelligent systems or you simply want to know more about them, this book provides you with detailed and up-to-date guidance. Check out the significantly expanded set of free web-based resources that support the book at: http://www.adrianhopgood.com/aitoolkit/
Author: Jiju Antony
Author: Jiju Antony
Author: William Cyrus Navidi
Author: Jon DiPietro
Author: Leo Finkelstein
Author: Shreeram Shankar Abhyankar
Author: Gary J. Bronson
Author: Edward L. Robinson
Author: Brian D. Hahn
Author: Kathleen R. Allen
Author: Adrian A. Hopgood