Author Description
This text covers topics such as nonparametric statistics, statistical quality control, multivariate regression analysis and operating characteristic curves.
Menrva's Summary
THE THESIS
This text investigates the application of statistical methodologies to solve complex engineering problems and optimize industrial processes. J. Wesley Barnes provides a structured approach to quantitative analysis, utilizing mathematical frameworks to address variability and uncertainty in engineering design. The book synthesizes theoretical statistical principles with practical implementation strategies relevant to technical fields.
THE SCOPE MAP
What You Will Find
- Nonparametric statistical methods
- Statistical quality control techniques
- Multivariate regression analysis
- Operating characteristic curves
Scope Limits
- Advanced theoretical proofs beyond engineering application
- Software-specific implementation tutorials
THE AUTHORITY PERSPECTIVE
Experts identify this text as a technical resource for students and practitioners requiring a rigorous foundation in engineering statistics. Readers frequently note the density of the mathematical content and the focus on industrial application over abstract theory.
Page Count:
576
Publication Date:
1994-04-01
Publisher:
McGraw-Hill Inc.,US
ISBN-10:
0070050945
ISBN-13:
9780070050945
Data Analysis
Quality Control
Statistics
Statistical methods
Multivariate analysis
Mathematics
Engineering