Data Analysis Using the Method of Least Squares: Extracting the Most Information from Experiments / Edition 1

Data Analysis Using the Method of Least Squares: Extracting the Most Information from Experiments / Edition 1

by John Wolberg
     
 

ISBN-10: 3540256741

ISBN-13: 9783540256748

Pub. Date: 02/10/2006

Publisher: Springer Berlin Heidelberg

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

…  See more details below

Overview

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.

Product Details

ISBN-13:
9783540256748
Publisher:
Springer Berlin Heidelberg
Publication date:
02/10/2006
Edition description:
2006
Pages:
250
Product dimensions:
6.10(w) x 9.30(h) x 0.60(d)

Table of Contents

The Method of Least Squares.- Model Evaluation.- Candidate Predictors.- Designing Quantitative Experiments.- Software.- Kernel Regression.

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >