Practical engineering, process, and reliability statistics / Mark Allen Durivage.

Format:

Book

Author/Creator:

Durivage, Mark Allen, author.

Language:

English

Subjects (All):

Engineering--Statistical methods.

Engineering.

Reliability (Engineering)--Statistical methods.

Reliability (Engineering).

Physical Description:

1 online resource (xvi, 337 pages) : illustrations

Edition:

2nd ed.

Place of Publication:

American Society for Quality 2022

Summary:

This book is a convenient and comprehensive guide to statistics. A resource for quality technicians and engineers in any industry, this second edition provides even more equations and examples for the reader-with a continued focus on algebra-based math. Those preparing for ASQ certification examinations, such as the Certified Quality Technician (CQT), Certified Six Sigma Green Belt (CSSGB), Certified Quality Engineer (CQE), Certified Six Sigma Black Belt (CSSBB), Certified Reliability Engineer (CRE), and Certified Supplier Quality Professional (CSQP), will find this book helpful as well. Inside you'll ­find: • Complete calculations for determining confidence intervals, tolerances, sample size, outliers, process capability, and system reliability • Newly added equations for hypothesis tests (such as the Kruskal-Wallis test and Levene's test for equality of variances), the Taguchi method, and Weibull and log-normal distributions • Hundreds of completed examples to demonstrate practical use of each equation • 20+ appendices, including distribution tables, critical values tables, control charts, sampling plans, and a beta table

Contents:

CIP data Chapter 1 Point Estimates and Measures of Dispersion Chapter 2 Confidence Intervals Chapter 3 Tolerance and Prediction Intervals Chapter 4 Correlation and Regression Analysis Chapter 5 Outliers Chapter 6 Hypothesis Testing Chapter 7 Sample Size Determination for Tests of Hypotheses Chapter 8 Hypothesis Testing for a Difference in Means Chapter 9 Hypothesis Testing for a Difference in Variances Chapter 10 Discrete Probability Distributions Chapter 11 Control Charts Chapter 12 Process Capability Chapter 13 Acceptance Sampling Chapter 14 ANOVA Chapter 15 The Reliability Bathtub Curve Chapter 16 Availability Chapter 17 Exponential Distribution Chapter 18 Censoring and MTBF and MCBF Calculations Chapter 19 Confidence Intervals for MTBF/MCBF Chapter 20 Nonparametric and Related Test Designs Chapter 21 Sample Size, Reliability, and Confidence Determination Chapter 22 Wear-Out Distribution Chapter 23 Conditional Probability of Failure Chapter 24 System Reliability Chapter 25 Stress-Strength Interference Chapter 26 Weibull Distribution Chapter 27 Log-Normal Distribution Chapter 28 Beta Distribution Chapter 29 Taguchi Methods Acronyms Definitions

Notes:

Includes bibliographical references (pages [329]-330) and index.

Description based on print version record.

ISBN:

9781636940410

1636940412

9781636940168

1636940161

9781523146505

1523146508