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Designing Quantitative Experiments

Prediction Analysis

  • Book
  • © 2010

Overview

Authors:
  1. John Wolberg

    1. Technion - Israel Institute of Technolog, Faculty of Mechanical Engineering, Haifa, Israel

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  • 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 supplementary material: sn.pub/extras

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xii
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  2. Introduction

    • Emeritus John Wolberg
    Pages 1-18

  3. Statistical Background

    • Emeritus John Wolberg
    Pages 19-46

  4. The Method of Least Squares

    • Emeritus John Wolberg
    Pages 47-89

  5. Prediction Analysis

    • Emeritus John Wolberg
    Pages 90-127

  6. Separation Experiments

    • Emeritus John Wolberg
    Pages 128-156

  7. Initial Value Experiments

    • Emeritus John Wolberg
    Pages 157-185

  8. Random Distributions

    • Emeritus John Wolberg
    Pages 186-204

  9. Back Matter

    Pages 205-210
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Keywords

About this book

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.

Authors and Affiliations

  • Technion - Israel Institute of Technolog, Faculty of Mechanical Engineering, Haifa, Israel

    John Wolberg

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