Editorial Review:
The preferred method of data analysis of quantitative experiments is the method of least squares. Often, however, the full power of the method is overlooked and very few books deal with this subject at the level that it deserves. The purpose of Data Analysis Using the Method of Least Squares 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. Particularly, both linear and non-linear least squares, the use of experimental error estimates for data weighting, procedures to include prior estimates, methodology for selecting and testing models, prediction analysis, and some non-parametric methods are discussed.
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Customer Reviews
Average Customer Rating: 
Analyst 2006-09-25
In my work I must review large data bases. We typically fit various models to the data. I've used the method of least squares to perform the analyses and found a reference to Wolberg's book. After reading several chapters I realized that there were several important aspect of this method that I wasn't aware of. I found the discussion of available software particularly helpful as well as the analysis of errors. Least Squares is a very powerful technique and this book provides a very complete discussion of the method.
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