Item description for Data Analysis Using the Method of Least Squares: Extracting the Most Information from Experiments by John Wolberg...
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 Squaresis 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 testingmodels, prediction analysis, and some non-parametric methods are discussed.
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Est. Packaging Dimensions: Length: 9.13" Width: 6.14" Height: 0.71" Weight: 0.88 lbs.
Release Date Feb 10, 2006
ISBN 3540256741 ISBN13 9783540256748
Availability 118 units. Availability accurate as of Mar 24, 2017 10:11.
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Reviews - What do customers think about Data Analysis Using the Method of Least Squares: Extracting the Most Information from Experiments?
Analyst Sep 25, 2006
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.