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Designing Quantitative Experiments

53,49 €*

Sofort verfügbar, Lieferzeit: 1-3 Tage

Produktnummer: 18796a257fb11f41ce95a6ea9f936e59f8
Autor: Wolberg, John
Themengebiete: Analysis of Experiments Bayesian estimatons Data Analysis Execution Independent Variables Design Interpretation Least Squares design measurement science
Veröffentlichungsdatum: 06.05.2010
EAN: 9783642115882
Sprache: Englisch
Seitenzahl: 208
Produktart: Kartoniert / Broschiert
Verlag: Springer Berlin
Untertitel: Prediction Analysis
Produktinformationen "Designing Quantitative Experiments"
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 mathematical models. When I reconsider this work in the light of today's world, the emphasis should shift towards applying current techn- ogy to facilitate the design process.

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