Data Analysis Using the Method of Least Squares: Extracting by John Wolberg

By John Wolberg

The most well liked approach to facts research of quantitative experiments is the strategy of least squares. frequently, although, the whole energy of the tactic is ignored and extremely few books care for this topic on the point that it merits. the aim of knowledge research utilizing the tactic of Least SquaresВ is to fill this hole and comprise the kind of details required to aid scientists and engineers practice the strategy to difficulties of their specific fields of curiosity. additionally, graduate scholars in technology and engineering doing paintings of experimental nature can take advantage of this booklet. fairly, either linear and non-linear least squares, using experimental mistakes estimates for information weighting, approaches to incorporate earlier estimates, technique for choosing and testingВ models, prediction research, and a few non-parametric equipment are mentioned.

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Extra info for Data Analysis Using the Method of Least Squares: Extracting the Most Information from Experiments

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The cause of outliers can be errors in data collections, errors in computer pre-processing of the data or even human error. , not errors) and are perhaps due to an unexpected phenomenon. 48. This can happen, for example, when data is being collected by hand and the person recording the data misplaces the decimal point. 3. 3 Data Weighting 43 Note the very large value of the relative error for point 5. 2), statistical tests are discussed that allow us to measure the goodness of the fit without the need to examine all the relative errors.

In this book we assume that the structure of the data is known (to some degree). Many problems in science and engineering fall within this category. Our typical starting point is a model that describes the relationship between the dependent and independent variables. The model includes some unknown parameters or parameters that we wish to determine to a greater accuracy than currently known. Sometimes the purpose of the experiment is to use the data as the basis for comparing different theoretical approaches to a particular problem.

FR92, WA93]). Treatment of the general nonlinear least squares problem is included in a much smaller number of books. One of the earliest books on this subject was written by W. E. Deming and published in 32 Chapter 2 THE METHOD OF LEAST SQUARES the pre-computer era in 1943 [DE43]. An early paper by R. Moore and R. Zeigler discussing one of the first general purpose computer programs for solving nonlinear least squares problems was published in 1960 [MO60]. The program described in the paper was developed at the Los Alamos Laboratories in New Mexico.

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