Analysis of Messy Data Volume 1

Analysis of Messy Data Volume 1
Author: George A. Milliken
Publisher: CRC Press
Total Pages: 690
Release: 2009-03-02
Genre: Mathematics
ISBN: 1420010158

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

Analysis of Messy Data
Author: George A. Milliken
Publisher: CRC Press
Total Pages: 216
Release: 1989-05-15
Genre: Mathematics
ISBN: 9780412063718

Researchers often do not analyze nonreplicated experiments statistically because they are unfamiliar with existing statistical methods that may be applicable. Analysis of Messy Data, Volume II details the statistical methods appropriate for nonreplicated experiments and explores ways to use statistical software to make the required computations feasible.

Fundamentals of Statistical Experimental Design and Analysis

Fundamentals of Statistical Experimental Design and Analysis
Author: Robert G. Easterling
Publisher: John Wiley & Sons
Total Pages: 272
Release: 2015-10-23
Genre: Mathematics
ISBN: 1118954653

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.

Statistical Analysis of Designed Experiments

Statistical Analysis of Designed Experiments
Author: Helge Toutenburg
Publisher: Springer Science & Business Media
Total Pages: 507
Release: 2006-05-09
Genre: Mathematics
ISBN: 0387227725

Unique in commencing with relatively simple statistical concepts and ideas found in most introductory statistical textbooks, this book goes on to cover more material useful for undergraduates and graduate in statistics and biostatistics.

Experimental Design and Data Analysis for Biologists

Experimental Design and Data Analysis for Biologists
Author: Gerry P. Quinn
Publisher: Cambridge University Press
Total Pages: 409
Release: 2023-09-07
Genre: Science
ISBN: 1009453858

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.

Analysis of Messy Data, Volume II

Analysis of Messy Data, Volume II
Author: George A. Milliken
Publisher: CRC Press
Total Pages: 208
Release: 2017-01-06
Genre: Mathematics
ISBN: 1351697137

Researchers often do not analyze nonreplicated experiments statistically because they are unfamiliar with existing statistical methods that may be applicable. Analysis of Messy Data, Volume II details the statistical methods appropriate for nonreplicated experiments and explores ways to use statistical software to make the required computations feasible.

Fundamentals of Design of Experiments for Automotive Engineering Volume I

Fundamentals of Design of Experiments for Automotive Engineering Volume I
Author: Young J. Chiang
Publisher: SAE International
Total Pages: 358
Release: 2023-11-28
Genre: Computers
ISBN: 1468606034

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 Techniques in Statistical Practice

Experimental Design Techniques in Statistical Practice
Author: William P Gardiner
Publisher: Elsevier
Total Pages: 410
Release: 1998-01-01
Genre: Mathematics
ISBN: 0857099787

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