Designing Quantitative Experiments

Prediction Analysis

  • John Wolberg

Table of contents

  1. Front Matter
    Pages i-xii
  2. Emeritus John Wolberg
    Pages 1-18
  3. Emeritus John Wolberg
    Pages 19-46
  4. Emeritus John Wolberg
    Pages 47-89
  5. Emeritus John Wolberg
    Pages 90-127
  6. Emeritus John Wolberg
    Pages 128-156
  7. Emeritus John Wolberg
    Pages 157-185
  8. Emeritus John Wolberg
    Pages 186-204
  9. Back Matter
    Pages 205-210

About this book


The method of Prediction Analysis is applicable for anyone interested in designing a quantitative experiment. The design phase of an experiment can be broken down into problem dependent design questions (like the type of equipment to use and the experimental setup) and generic questions (like the number of data points required, range of values for the independent variables and measurement accuracy). This book is directed towards the generic design phase of the process. The
methodology for this phase of the design process is problem independent and can be applied to experiments performed in most branches of science and technology. The purpose of the prediction analysis is to predict the accuracy of the results that one can expect from a proposed experiment. Prediction analyses can be performed using the REGRESS program which was developed by the author and can be obtained free-of-charge through the author's website. Many examples of prediction analyses are included in the book ranging from very simple experiments based upon a linear relationship between the dependent and independent variables to experiments in which the mathematical models are highly non-linear.


Analysis of Experiments Bayesian estimatons Data Analysis Execution Independent Variables Design Interpretation Least Squares design measurement science technology

Authors and affiliations

  • John Wolberg
    • 1
  1. 1.Technion - Israel Institute of TechnologFaculty of Mechanical EngineeringHaifaIsrael

Bibliographic information