PDF Download Springer Handbook of Engineering Statistics (Springer Handbooks) From Brand: Springer
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Springer Handbook of Engineering Statistics (Springer Handbooks) From Brand: Springer
PDF Download Springer Handbook of Engineering Statistics (Springer Handbooks) From Brand: Springer
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- Sales Rank: #2617386 in Books
- Brand: Brand: Springer
- Published on: 2006-07-05
- Original language: English
- Number of items: 1
- Dimensions: 2.12" h x 7.84" w x 9.62" l, 5.26 pounds
- Binding: Hardcover
- 1120 pages
- Used Book in Good Condition
From Publishers Weekly
エンジニアや実務者は、設計や試験プロセスの一部として、自らが作り出した製品をテストするためのデータを日々収集する必要がある.データ収集は、その製品やプロセスがロールアウトした後でその有効性をモニターするためにも必要である.モデルの構築、データの収集、データの解析そしてデータの解釈が実務の中核となる.
本書では、プロセスや製品がどのように機能しているかということについての統計的フィードバックを得るため、そしてこれらがどのように改善可能かについての現実的な予測を与えるために、あらゆる分野におけるエンジニアによって必要とされている統計的な技法を網羅したハンドブックである.本書は、あらゆる分野のエンジニアにはもちろん、高品質で競争力の高い商品開発に関与するマネージャーにも必読のレファレンスとしてお薦めする.
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Review
From the reviews:
"The book provides a concise compilation of approved keys and up to date information on statistical methods for engineering sciences. A detailed list of references for every topic is appreciable." (Daniela Jarušková, Zentrablatt MATH, Vol. 1096 (22), 2006)
"The Springer Handbook of Engineering Statistics is a recent entry in the Springer Press’ line of technical reference books. … The text is aimed at practicing engineers and researchers as a compilation of the core fundamentals of engineering statistics, along with current and cutting-edge research and theory. … This text will be a welcome addition to the reference library of experienced users of traditional engineering statistics … . Current research is well summarised, clearly presented, and strikingly illustrated." (Dave Jones, International Journal of Acoustics and Vibration, Vol. 12 (2), 2007)
"This book enlisted 100 authors in various field of expertise, the reader can expect wide variations in the style of writing and depth of coverage. … a book for those for those interested in learning what one can do with statistics to develop data, models, or methods to discover information for improving processes, making engineering decisions, or just to understand processes. For those applying statistics for process improvement, this book would serve as a good source to go beyond the traditional Six Sigma tool kits." (Shin Ta Liu, Technometrics, Vol. 49 (4), 2007)
"[T]he Springer Handbook on Engineering Statistics is going to be useful to engineers at large, particularly to engineers engaged in manufacturing, design, testing and operations." (Krisnha B. Misra, International Journal of Performability Engineering, Vol. 3, (3), 2007)
From the Back Cover
Engineers and practitioners contribute to society through their ability to apply basic scientific principles to real problems in an effective and efficient manner. They must collect data to test their products every day as part of the design and testing process and also after the product or process has been rolled out to monitor its effectiveness. Model building and validation, data collection, data analysis and data interpretation form the core of sound engineering practice.
After the data has been gathered the engineers, statisticians, designers, and practitioners must be able to sift them and interpret them correctly so that meaning can be exposed from a mass of undifferentiated numbers or facts. To do this he must be familiar with the fundamental concepts of correlation, uncertainty, variability and risk in the face of uncertainty.
In today’s global and highly competitive environment, continuous improvement in the processes and products of any field of engineering is essential for survival. Many organizations have shown that the first step to continuous improvement is to integrate the widespread use of statistics and basic data analysis into the manufacturing development process as well as into the day-to-day business decisions taken in regard to engineering and technological information processes.
The Springer Handbook of Engineering Statistics gathers together the full range of statistical techniques required by readers from all fields to gain sensible statistical feedback on how their processes or products are functioning and to give them realistic predictions of how these could be improved.
Key Topics
- Fundamental Statistics
- Process Monitoring and Improvement
- Reliability Modeling and Survival Analysis
- Regression Methods
- Data Mining
- Statistical Methods and Modeling
- Wide Range of Applications including Six Sigma
Features
- Contributions from leading experts in statistics and their application to engineering from industrial control to academic medicine and financial risk management
- Wide-ranging selection of statistical techniques to enable the readers to choose the method most appropriate
- Extensive and easy-to-use subject index making information quickly available to the reader.
The Springer Handbook of Engineering Statistics will be essential reading for all engineers, statisticians, researchers, teachers, students, and engineering-connected managers who are serious about keeping their methods and products at the cutting edge of quality and competitiveness.
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