By this edition of Modern Engineering Statistics will explain statistical applications in clearly fast. Not easy to understand the statistics but this book can help, more research more understand. Modern Engineering Statistics is good for engineering students and teachers.
With a nice blend of methodology and applications, this book provides and carefully explains the concepts necessary for students to fully grasp and appreciate contemporary statistical techniques in the context of engineering. Instead of confusing in statistical this book will improve your ability with clear explanation, Theorems, Definition, Problems and solutions.
Summary Contents of Modern Engineering Statistics
- Methods of Collecting and Presenting Data
- Measures of Location and Dispersion
- Probability and Common Probability Distributions
- Point Estimation
- Confidence Intervals and Hypothesis Tests—One Sample
- Confidence Intervals and Hypothesis Tests—Two Samples
- Tolerance Intervals and Prediction Intervals
- Simple Linear Regression, Correlation, and Calibration
- Multiple Regression
- Mechanistic Models
- Control Charts and Quality Improvement
- Design and Analysis of Experiments
- Measurement System Appraisal
- Reliability Analysis and Life Testing
- Analysis of Categorical Data
- Distribution-Free Procedures
- Tying It All Together
Appendix: Statistical Tables
Author Index
Total 580 pages