A Comprehensive Guide to Factorial Two-Level Experimentation 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 A Comprehensive Guide to Factorial Two-Level Experimentation PDF full book. Access full book title A Comprehensive Guide to Factorial Two-Level Experimentation by Robert Mee. Download full books in PDF and EPUB format.
Author: Robert Mee
Publisher: Springer
ISBN: 9781489982704
Category : Mathematics
Languages : en
Pages : 0
Get Book Here
Book Description
This book contains the most comprehensive coverage available anywhere for two-level factorial designs. The re-analysis of 50 published examples serves as a how-to guide for analysis of the many types of full factorial and fractional factorial designs. By focusing on two-level designs, this book is accessible to a wide audience of practitioners who use planned experiments.
Author: Robert Mee
Publisher: Springer
ISBN: 9781489982704
Category : Mathematics
Languages : en
Pages : 0
Get Book Here
Book Description
This book contains the most comprehensive coverage available anywhere for two-level factorial designs. The re-analysis of 50 published examples serves as a how-to guide for analysis of the many types of full factorial and fractional factorial designs. By focusing on two-level designs, this book is accessible to a wide audience of practitioners who use planned experiments.
Author: Douglas C. Montgomery
Publisher: Wiley
ISBN: 9780471661597
Category : Experimental design
Languages : en
Pages : 0
Get Book Here
Book Description
This bestselling professional reference has helped over 100,000 engineers and scientists with the success of their experiments. The new edition includes more software examples taken from the three most dominant programs in the field: Minitab, JMP, and SAS. Additional material has also been added in several chapters, including new developments in robust design and factorial designs. New examples and exercises are also presented to illustrate the use of designed experiments in service and transactional organizations. Engineers will be able to apply this information to improve the quality and efficiency of working systems.
Author: United States. National Bureau of Standards. Statistical Engineering Laboratory
Publisher:
ISBN:
Category : Factorial experiment designs
Languages : en
Pages : 100
Get Book Here
Book Description
Author: Jiju Antony
Publisher: Elsevier
ISBN: 0080994199
Category : Technology & Engineering
Languages : en
Pages : 221
Get Book Here
Book Description
The tools and techniques used in Design of Experiments (DoE) have been proven successful in meeting the challenge of continuous improvement in many manufacturing organisations over the last two decades. However research has shown that application of this powerful technique in many companies is limited due to a lack of statistical knowledge required for its effective implementation.Although many books have been written on this subject, they are mainly by statisticians, for statisticians and not appropriate for engineers. Design of Experiments for Engineers and Scientists overcomes the problem of statistics by taking a unique approach using graphical tools. The same outcomes and conclusions are reached as through using statistical methods and readers will find the concepts in this book both familiar and easy to understand.This new edition includes a chapter on the role of DoE within Six Sigma methodology and also shows through the use of simple case studies its importance in the service industry. It is essential reading for engineers and scientists from all disciplines tackling all kinds of manufacturing, product and process quality problems and will be an ideal resource for students of this topic. - Written in non-statistical 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 a full chapter on DoE for services as well as case studies illustrating its wider application in the service industry
Author: United States. National Bureau of Standards. Statistical Engineering Laboratory
Publisher:
ISBN:
Category : Factorial experiment designs
Languages : en
Pages : 98
Get Book Here
Book Description
Author: William Stokes Connor
Publisher:
ISBN:
Category : Experimental design
Languages : en
Pages : 52
Get Book Here
Book Description
Author: Aloke Dey
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 152
Get Book Here
Book Description
A systematic and up-to-date account of fractional factorial designs giving uncorrelated estimates of relevant parameters. After basic concepts of design and analysis of factorial experiments are introduced, consideration is given to a detailed account of all available methods of obtaining orthogonal fractional factorial designs. Both symmetrical and asymmetrical pictorials are covered. Features an extensive table giving an index of fractional factorial designs. All recent work, including that unpublished, is included, and references provided.
Author: William P Gardiner
Publisher: Elsevier
ISBN: 0857099787
Category : Mathematics
Languages : en
Pages : 410
Get Book Here
Book Description
Provides an introduction to the diverse subject area of experimental design, with many practical and applicable exercises to help the reader understand, present and analyse the data. The pragmatic approach offers technical training for use of designs and teaches statistical and non-statistical skills in design and analysis of project studies throughout science and industry. - Provides an introduction to the diverse subject area of experimental design and includes practical and applicable exercises to help understand, present and analyse the data - Offers technical training for use of designs and teaches statistical and non-statistical skills in design and analysis of project studies throughout science and industry - Discusses one-factor designs and blocking designs, factorial experimental designs, Taguchi methods and response surface methods, among other topics
Author: Miodrag Lovric
Publisher: Springer Science & Business Media
ISBN: 3642048978
Category : Mathematics
Languages : en
Pages : 0
Get Book Here
Book Description
The goal of this book is multidimensional: a) to help reviving Statistics education in many parts in the world where it is in crisis. For the first time authors from many developing countries have an opportunity to write together with the most prominent world authorities. The editor has spent several years searching for the most reputable statisticians all over the world. International contributors are either presidents of the local statistical societies, or head of the Statistics department at the main university, or the most distinguished statisticians in their countries. b) to enable any non-statistician to obtain quick and yet comprehensive and highly understandable view on certain statistical term, method or application c) to enable all the researchers, managers and practicioners to refresh their knowledge in Statistics, especially in certain controversial fields. d) to revive interest in statistics among students, since they will see its usefulness and relevance in almost all branches of Science.
Author: Shen Liu
Publisher: Academic Press
ISBN: 0081006519
Category : Mathematics
Languages : en
Pages : 208
Get Book Here
Book Description
Due to the scale and complexity of data sets currently being collected in areas such as health, transportation, environmental science, engineering, information technology, business and finance, modern quantitative analysts are seeking improved and appropriate computational and statistical methods to explore, model and draw inferences from big data. This book aims to introduce suitable approaches for such endeavours, providing applications and case studies for the purpose of demonstration. Computational and Statistical Methods for Analysing Big Data with Applications starts with an overview of the era of big data. It then goes onto explain the computational and statistical methods which have been commonly applied in the big data revolution. For each of these methods, an example is provided as a guide to its application. Five case studies are presented next, focusing on computer vision with massive training data, spatial data analysis, advanced experimental design methods for big data, big data in clinical medicine, and analysing data collected from mobile devices, respectively. The book concludes with some final thoughts and suggested areas for future research in big data. - Advanced computational and statistical methodologies for analysing big data are developed - Experimental design methodologies are described and implemented to make the analysis of big data more computationally tractable - Case studies are discussed to demonstrate the implementation of the developed methods - Five high-impact areas of application are studied: computer vision, geosciences, commerce, healthcare and transportation - Computing code/programs are provided where appropriate
