| 书目名称 | Designing Quantitative Experiments |
| 副标题 | Prediction Analysis |
| 编辑 | John Wolberg |
| 视频video | |
| 概述 | Enables scientists to apply the method to their specific problem.Concentrates on the generic design phase of the experimental process.Includes designing experiments with Bayesian estimators.Includes s |
| 图书封面 |  |
| 描述 | Early in my career I was given the task of designing a sub-critical nuclear reactor facility that was to be used to perform basic research in the area of reactor physics. We planned to run a series of experiments to determine fundamental parameters related to the distribution of neutrons in such s- tems. I felt that it was extremely important to understand how the design would impact upon the accuracy of our results and as a result of this - quirement I developed a design methodology that I subsequently called prediction analysis. After working with this method for several years and applying it to a variety of different experiments, I wrote a book on the subject. Not surprisingly, it was entitled Prediction Analysis and was p- lished by Van Nostrand in 1967.Since the book was published over 40 years ago science and technology have undergone massive changes due to the computer revolution. Not - ly has available computing power increased by many orders of magnitude, easily available and easy to use software has become almost ubiquitous. In the 1960‘s my emphasis was on the development of equations, tables and graphs to help researchers design experiments based upon some we- known mat |
| 出版日期 | Book 2010 |
| 关键词 | Analysis of Experiments; Bayesian estimatons; Data Analysis; Execution; Independent Variables Design; Int |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-11589-9 |
| isbn_softcover | 978-3-642-11588-2 |
| isbn_ebook | 978-3-642-11589-9 |
| copyright | Springer-Verlag Berlin Heidelberg 2010 |
发表于 2025-3-21 17:12:12
