ISBN-10:
0534237061
ISBN-13:
9780534237066
Pub. Date:
08/28/1997
Publisher:
Brooks/Cole
Statistical Methods for Engineers / Edition 1

Statistical Methods for Engineers / Edition 1

by G. Geoffrey Vining

Hardcover

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Overview

Statistical Methods for Engineers / Edition 1

Writing from years of experience. Geoff Vining provides real engineering data that results in a truly modern approach. A running engineering case study offers conceptual continuity throughout the book. An excellent introduction discusses the engineering method and its intimate link to statistical decision making.

Product Details

ISBN-13: 9780534237066
Publisher: Brooks/Cole
Publication date: 08/28/1997
Series: Statistics Ser.
Edition description: Older Edition
Pages: 496
Product dimensions: 7.58(w) x 9.57(h) x 1.11(d)

Table of Contents

1. OVERTURE: ENGINEERING METHOD AND DATA COLLECTION Need for Statistical Methods in Engineering / Engineering Method and Statistical Thinking / Models / Obtaining Data / Sampling / Engineering Experiments / Enumerative versus Analytic Studies / Purpose of Engineering Statistics / Case Study: Manufacture of Writing Instruments / References 2. DATA DISPLAYS Importance of Data Displays / Stem-and-Leaf Displays / Boxplots / Using Computer Software / Case Study / Need for Probability and Distributions / Ideas for Projects / References 3. MODELING RANDOM BEHAVIOR Probability / Random Variables and Distributions / Discrete Random Variables / Continuous Random Variables / The Normal Distribution / Random Behavior of Means / Random Behavior of Means when the Variance is Unknown / The Random Behavior of Sample Variances / Normal Approximation to the Binomial / Case Study / References 4. ESTIMATION AND TESTING Estimation / Hypothesis Testing / Inference for a Single Mean / Inference for Proportions / Inference for Two Independent Samples / The Paired t-Test / Inference for a Single Variance / p-Values / Transformations and Nonparametric Analyses / Case Study / Ideas for Projects / References 5. CONTROL CHARTS Overview / X and R Charts / X- and s-squared Charts / X-Chart / The np-Chart / The c-Chart / Average Run Lengths / Standard Control Charts with Runs Rules / CUSUM Charts / Case Study / Ideas for Projects / References 6. LINEAR REGRESSION ANALYSIS Relationships Among Data / Simple Linear Regression / Multiple Linear Regression / Residual Analysis / Collinearity Diagnostics / Ideas for Projects / References 7. DESIGNING RESPONSE SURFACE EXPERIMENTS Overview of Designed Experiments / The 2 squared Factorial Design / The 2k Factorial Design / Half Fractions of the 2k Factorial / Central Composite Designs / Multiple Responses / Experimental Designs for Quality Improvement / Ideas for Projects / References 8. CODA The Themes of this Course / Integrating the Themes / Statistics and Engineering / References / APPENDIX: TABLES / ANSWERS TO SELECTED READINGS / INDEX

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