Data Analysis Using the Method of Least Squares (Paperback)


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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Product Description

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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Product Details

General

Imprint

Springer

Country of origin

United States

Release date

August 2008

Availability

Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.

First published

August 2008

Authors

Dimensions

156 x 234 x 14mm (L x W x T)

Format

Paperback - Trade

Pages

268

ISBN-13

978-3-540-81016-2

Barcode

9783540810162

Categories

LSN

3-540-81016-1



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