Articles liés à Engineering Statistics
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Quatrième de couverture
SOLVE REAL–WORLD ENGINEERING PROBLEMS WITH STATE–OF–THE–ART STATISTICAL TECHNIQUES
In the Second Edition of their concise, modern approach to engineering statistics, the authors emphasize the vital role statistics plays in the engineering problem–solving process. Updated with the latest techniques and new exercises and examples, the new edition provides engineers from all fields with statistical methodologies currently used in professional practice.
The text covers all major aspects of engineering statistics, including descriptive statistics, statistical test and confidence intervals for one and two samples, building regression models, designing and analyzing engineering experiments, statistical process control, and some probability and probability distributions. Throughout, you′ll discover many practical examples of how statistical techniques and tools are applied to real–world engineering problems.
Features
- Improved integration of statistics in the engineering problem–solving process.
- Many new exercises and examples featuring real–world application s from a wide range of disciplines.
- New text boxes and highlighting that identify key equations and concepts.
- A wide range of problems of varied levels, including problems with summary information and problems with full data sets. Many problems include data from published sources, and some ask the reader to retrieve real data sets from the Web.
- Detailed coverage of Minitab throughout the new edition and in many example solutions.
- Concise and complete coverage of probability topics, with many practical applications and examples.
- Thorough coverage of regression modeling, design of engineering experiments, and statistical process control.
Présentation de l'éditeur
This book, now in its Second Edition, gives a modern treatment of engineering statistics, focusing on how statistics is integrated into the engineering problem–solving process. All major aspects of engineering statistics are covered, including descriptive statistics, statistical test and confidence intervals for one and two samples, building regression models, designing and analyzing engineering experiments, statistical process control, and some probability and probability distributions. All examples and exercises are based on real–world applications of statistics in engineering.
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