Description: Designing Quantitative Experiments : Prediction Analysis, Paperback by Wolberg, John, ISBN 3642115888, ISBN-13 9783642115882, Brand New, Free shipping in the US 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 th 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.
Price: 67.03 USD
Location: Jessup, Maryland
End Time: 2025-01-16T20:25:21.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Return policy details:
Book Title: Designing Quantitative Experiments : Prediction Analysis
Number of Pages: Xii, 208 Pages
Language: English
Publication Name: Designing Quantitative Experiments : Prediction Analysis
Publisher: Springer Berlin / Heidelberg
Subject: Measurement, Probability & Statistics / General, General, Research & Methodology
Publication Year: 2010
Type: Textbook
Item Weight: 16 Oz
Item Length: 9.3 in
Author: John Wolberg
Subject Area: Mathematics, Technology & Engineering, Science
Item Width: 6.1 in
Format: Trade Paperback