"Data Analysis Using the Method of Least Squares: Extracting the Most Information from Experiments" by John Wolberg

The purpose of this book is to fill this gap and include the type of information required to help scientists and engineers apply the method to problems in their special fields of interest. In addition, graduate students in science and engineering doing work of experimental nature can benefit from this book.

• Develops the full power of the least-squares method
• Enables engineers and scientists to apply the method to their specific problem
• Deals with linear as well as with non-linear least-squares, parametric as well as non-parametric methods

Contents
Chapter 1 INTRODUCTION
Chapter 2 THE METHOD OF LEAST SQUARES
Chapter 3 MODEL EVALUATION
Chapter 4 CANDIDATE PREDICTORS
Chapter 5 DESIGNING QUANTITATIVE EXPERIMENTS
Chapter 6 SOFTWARE
Chapter 7 KERNEL REGRESSION
Appendix A: Generating Random Noise
Appendix B: Approximating the Standard Normal Distribution
References
Index