Analysis of Messy Data Volume 1

Analysis of Messy Data Volume 1 PDF Author: George A. Milliken
Publisher: CRC Press
ISBN: 1420010158
Category : Mathematics
Languages : en
Pages : 690

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Book Description
A bestseller for nearly 25 years, Analysis of Messy Data, Volume 1: Designed Experiments helps applied statisticians and researchers analyze the kinds of data sets encountered in the real world. Written by two long-time researchers and professors, this second edition has been fully updated to reflect the many developments that have occurred since t

Analysis of Messy Data Volume 1

Analysis of Messy Data Volume 1 PDF Author: George A. Milliken
Publisher: CRC Press
ISBN: 1420010158
Category : Mathematics
Languages : en
Pages : 690

Get Book Here

Book Description
A bestseller for nearly 25 years, Analysis of Messy Data, Volume 1: Designed Experiments helps applied statisticians and researchers analyze the kinds of data sets encountered in the real world. Written by two long-time researchers and professors, this second edition has been fully updated to reflect the many developments that have occurred since t

Analysis of messy data. 1. Designed experiments

Analysis of messy data. 1. Designed experiments PDF Author: George A. Milliken
Publisher:
ISBN: 9780534027131
Category :
Languages : en
Pages : 473

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Book Description


Fundamentals of Statistical Experimental Design and Analysis

Fundamentals of Statistical Experimental Design and Analysis PDF Author: Robert G. Easterling
Publisher: John Wiley & Sons
ISBN: 1118954653
Category : Mathematics
Languages : en
Pages : 272

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Book Description
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 Design of Experiments for Automotive Engineering Volume I

Fundamentals of Design of Experiments for Automotive Engineering Volume I PDF Author: Young J. Chiang
Publisher: SAE International
ISBN: 1468606026
Category : Computers
Languages : en
Pages : 358

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Book Description
In a world where innovation and sustainability are paramount, Fundamentals of Design of Experiments for Automotive Engineering: Volume I serves as a definitive guide to harnessing the power of statistical thinking in product development. As first of four volumes in SAE International’s DOE for Product Reliability Growth series, this book presents a practical, application-focused approach by emphasizing DOE as a dynamic tool for automotive engineers. It showcases real-world examples, demonstrating how process improvements and system optimizations can significantly enhance product reliability. The author, Yung Chiang, leverages extensive product development expertise to present a comprehensive process that ensures product performance and reliability throughout its entire lifecycle. Whether individuals are involved in research, design, testing, manufacturing, or marketing, this essential reference equips them with the skills needed to excel in their respective roles. This book explores the potential of Reliability and Sustainability with DOE, featuring the following topics: - Fundamental prerequisites for deploying DOE: Product reliability processes, measurement uncertainty, failure analysis, and design for reliability. - Full factorial design 2K: A system identification tool for relating objectives to factors and understanding main and interactive effects. - Fractional factorial design 2RK-P: Ideal for identifying main effects and 2-factor interactions. - General fractional factorial design LK-P: Systematically identification of significant inputs and analysis of nonlinear behaviors. - Composite designs as response surface methods: Resolving interactions and optimizing decisions with limited factors. - Adapting to practical challenges with “short” DOE: Leveraging optimization schemes like D-optimality, and A-optimality for optimal results. Readers are encouraged not to allow product failures to hinder progress but to embrace the "statistical thinking" embedded in DOE. This book can illuminate the path to designing products that stand the test of time, resulting in satisfied customers and thriving businesses. (ISBN 9781468606027, ISBN 9781468606034, ISBN 9781468606041, DOI 10.4271/9781468606034)

Experimental Design and Data Analysis for Biologists

Experimental Design and Data Analysis for Biologists PDF Author: Gerry P. Quinn
Publisher: Cambridge University Press
ISBN: 1009453858
Category : Science
Languages : en
Pages : 409

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Book Description
Requiring only introductory statistics and basic mathematics, this textbook avoids jargon and provides worked examples, data sets and R code, and review exercises. Designed for advanced undergraduates and postgraduates studying biostatistics and experiment design in biology-related fields, it applies statistical concepts to biological scenarios.

Experimental Design Techniques in Statistical Practice

Experimental Design Techniques in Statistical Practice PDF Author: William P Gardiner
Publisher: Elsevier
ISBN: 0857099787
Category : Mathematics
Languages : en
Pages : 410

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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

Statistical Case Studies for Industrial Process Improvement

Statistical Case Studies for Industrial Process Improvement PDF Author: Veronica Czitrom
Publisher: SIAM
ISBN: 9780898719765
Category : Technology & Engineering
Languages : en
Pages : 541

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Book Description
This book contains a broad selection of case studies written by professionals in the semiconductor industry that illustrate the use of statistical methods to improve manufacturing processes. These case studies offer engineers, scientists, technicians, and managers numerous examples of best-in-class practices by their peers. Because of the universal nature of statistical applications, the methods described here can be applied to a wide range of industries, including the chemical, biotechnology, automotive, steel, plastics, textile, and food industries. Many industries already benefit from the use of statistical methods, although the semiconductor industry is considered both a leader in and a model for the wide application and effective use of statistics.

Søren Bisgaard’s Contributions To Quality Engineering

Søren Bisgaard’s Contributions To Quality Engineering PDF Author: Ronald J.M.M. Does
Publisher: Quality Press
ISBN: 0873899563
Category : Business & Economics
Languages : en
Pages : 350

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Book Description
Søren Bisgaard was an extremely productive and insightful scholar of modern industrial statistics and quality engineering. He was amazing for both his breadth of interests and the depth of his scholarship. Søren was one of the very few people making substantial contributions in so many basic areas in statistics and quality engineering. This compilation collects 31 of his works and is divided into four broad areas: Design and Analysis of ExperimentsTime Series AnalysisThe Quality ProfessionHealthcare Engineering This book provides a comprehensive coverage of essential statistical methods for the 2k-p factorial system and shows the basic principles of time series analysis through examples. Furthermore, this book presents the connection between the application of the scientific method and quality improvement, and it points out the importance of quality improvement to tangible financial results. Finally, this book explains the seemingly paradoxical idea that we can enhance quality while reducing cost of healthcare.

Computational Statistics

Computational Statistics PDF Author: Yadolah Dodge
Publisher: Springer Science & Business Media
ISBN: 3642486789
Category : Business & Economics
Languages : en
Pages : 427

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Book Description
The papers assembled in this book were presented at the biannual symposium of Inter national Association for Statistical Computing in Neuchcitel, Switzerland, in August of 1992. This congress marked the tenth such meeting from its inception in 1974 at Vienna and maintained the tradition of providing a forum for the open discussion of progress made in computer oriented statistics and the dissemination of new ideas throughout the statistical community. It was gratifying to see how well the groups of theoretical statisti cians, software developers and applied research workers were represented, whose mixing is an event made uniquely possible by this symposium. While maintaining traditions certain new features have been introduced at this con ference: there were a larger number of invited speakers; there was more commercial sponsorship and exhibition space; and a larger body of proceedings have been published. The structure of the proceedings follows a standard format: the papers have been grouped together according to a rough subject matter classification, and within topic follow an approximate aphabetical order. The papers are published in two volumes ac cording to the emphasis of the topics: volume I gives a slight leaning towards statistics and modelling, while volume II is focussed more on computation; but this is certainly only a crude distinction and the volumes have to be thought of as the result of a single en terprise.

Rural Health and Aging Research

Rural Health and Aging Research PDF Author: Wilbert M Gesler
Publisher: Routledge
ISBN: 1351841890
Category : Psychology
Languages : en
Pages : 276

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Book Description
This book describes a wide-ranging set of research approaches which have been used to study the health care problems of adults living in rural areas. It shows how these approaches can be used to define health care problems, measure levels of illness and health, and evaluate health care practices. For each approach, contributors provide a theoretical background from the health care delivery literature, details of how it can be carried out in the field, its strengths and weaknesses, and illustrative examples from both the literature and their own work.