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Fundamentals of Statistical Experimental Design and Analysis.

By: Easterling, Robert G.
Material type: TextTextSeries: eBooks on Demand.Publisher: Hoboken : Wiley, 2015Description: 1 online resource (530 p.).ISBN: 9781118954652.Subject(s): Experimental design | Mathematical statistics -- Anecdotes | Mathematical statistics -- Study and teaching | MathematicsGenre/Form: Electronic books.Additional physical formats: Print version:: Fundamentals of Statistical Experimental Design and AnalysisDDC classification: 519.57 Online resources: Click here to view this ebook.
Contents:
Cover; Table of Contents; Title Page; Preface; References; Statistical Software; Sources for Student Exercises (in addition to the above references); Acknowledgments; Credits; 1 Introduction; Motivation: Why Experiment?; Steps in an Experimental Program; Subject-Matter Passion; Case Study; Overview of Text; Assignment; References; 2 Fundamentals of Experimental Design; Introduction; Experimental Structure; Principles of Experimental Design; Assignment; References; 3 Fundamentals of Statistical Data Analysis; Introduction; Boys' Shoes Experiment; Tomato Fertilizer Experiment
A New Tomato ExperimentComparing Standard Deviations; Discussion; Appendix 3.A The Binomial Distribution; Appendix 3.B Sampling from a Normal Distribution; Appendix 3.C Statistical Underpinnings; Assignment; References; 4 Completely Randomized Design; Introduction; Design Issues; CRD: Single Qualitative Factor; Analysis of Variance; Testing the Assumptions of Equal Variances and Normality; Confidence Intervals; Inference; Statistical Prediction Interval; Example: Tomato Fertilizer Experiment Revisited; Sizing a Completely Randomized Experiment; CRD: Single Quantitative Factor; Design Issues
Enhanced Case Study: Power Window Gear TeethAssignment; References; 5 Completely Randomized Design with Multiple Treatment Factors; Introduction; Design Issues; Response Surface Designs; Special Case: Two-Level Factorial Experiments; Fractional Two-Level Factorials; Extensions; Assignment; References; 6 Randomized Complete Block Design; Introduction; Design Issues; RBD with Single Replication; Sizing a Randomized Block Experiment; True Replication; Extensions of the RBD; Discussion; Balanced Incomplete Block Designs; Summary; Assignment; References; 7 Other Experimental Designs; Introduction
Latin Square DesignSplit-Unit Designs; Repeated Measures Designs; Robust Designs; Optimal Designs; Assignment; References; Index; End User License Agreement
Summary: Professionals in all areas - business; government; the physical, life, and social sciences; engineering; medicine, etc. - benefit from using statistical experimental design to better understand their worlds and then use that understanding to improve the products, processes, and programs they are responsible for. This book aims to provide the practitioners of tomorrow with a memorable, easy to read, engaging guide to statistics and experimental design. This book uses examples, drawn from a variety of established texts, and embeds them in a business or scientific context, seasoned with a dash
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Item type Current location Call number URL Status Date due Barcode
Electronic Book UT Tyler Online
Online
QA276.18 .E384 2015 (Browse shelf) http://uttyler.eblib.com/patron/FullRecord.aspx?p=2038570 Available EBL2038570

Cover; Table of Contents; Title Page; Preface; References; Statistical Software; Sources for Student Exercises (in addition to the above references); Acknowledgments; Credits; 1 Introduction; Motivation: Why Experiment?; Steps in an Experimental Program; Subject-Matter Passion; Case Study; Overview of Text; Assignment; References; 2 Fundamentals of Experimental Design; Introduction; Experimental Structure; Principles of Experimental Design; Assignment; References; 3 Fundamentals of Statistical Data Analysis; Introduction; Boys' Shoes Experiment; Tomato Fertilizer Experiment

A New Tomato ExperimentComparing Standard Deviations; Discussion; Appendix 3.A The Binomial Distribution; Appendix 3.B Sampling from a Normal Distribution; Appendix 3.C Statistical Underpinnings; Assignment; References; 4 Completely Randomized Design; Introduction; Design Issues; CRD: Single Qualitative Factor; Analysis of Variance; Testing the Assumptions of Equal Variances and Normality; Confidence Intervals; Inference; Statistical Prediction Interval; Example: Tomato Fertilizer Experiment Revisited; Sizing a Completely Randomized Experiment; CRD: Single Quantitative Factor; Design Issues

Enhanced Case Study: Power Window Gear TeethAssignment; References; 5 Completely Randomized Design with Multiple Treatment Factors; Introduction; Design Issues; Response Surface Designs; Special Case: Two-Level Factorial Experiments; Fractional Two-Level Factorials; Extensions; Assignment; References; 6 Randomized Complete Block Design; Introduction; Design Issues; RBD with Single Replication; Sizing a Randomized Block Experiment; True Replication; Extensions of the RBD; Discussion; Balanced Incomplete Block Designs; Summary; Assignment; References; 7 Other Experimental Designs; Introduction

Latin Square DesignSplit-Unit Designs; Repeated Measures Designs; Robust Designs; Optimal Designs; Assignment; References; Index; End User License Agreement

Professionals in all areas - business; government; the physical, life, and social sciences; engineering; medicine, etc. - benefit from using statistical experimental design to better understand their worlds and then use that understanding to improve the products, processes, and programs they are responsible for. This book aims to provide the practitioners of tomorrow with a memorable, easy to read, engaging guide to statistics and experimental design. This book uses examples, drawn from a variety of established texts, and embeds them in a business or scientific context, seasoned with a dash

Description based upon print version of record.

Author notes provided by Syndetics

Robert G. Easterling. Dr. Easterling is retired from Sandia National Laboratories where he was a statistical consultant, manager, and senior scientist. He is a Fellow of the American Statistical Association, a former Editor of Technometrics , and a recipient of the American Society for Quality's Brumbaugh Award. He holds a Ph.D. in statistics from Oklahoma State University.

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