基本説明
プロセスや製品の機能についての統計的フィードバックを得、改善法、および現実的な予測をたてるために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。
Contents: Part A Fundamental Statistics and its Applications.- Part B Process Monitoring and Improvement.- Part C Reliability Models and Survival Analysis.- Part D Regression Methods and Data Mining.- Part E Statistical Methods and Modeling .- Part F Applications in Engineering Statistics.- About the Authors.- Subject Index.
Full Description
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 organisations 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 processes.
The "Springer Handbook of Engineering Statistics" gathers together the full range of statistical techniques required by engineers 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.
Contents
Part A Fundamental Statistics and its Applications.- Part B Process Monitoring and Improvement.- Part C Reliability Models and Survival Analysis.- Part D Regression Methods and Data Mining.- Part E Statistical Methods and Modeling .- Part F Applications in Engineering Statistics.- About the Authors.- Subject Index.
