Least Squares Data Fitting with Applications

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9781421407869: Least Squares Data Fitting with Applications

As one of the classical statistical regression techniques, and often the first to be taught to new students, least squares fitting can be a very effective tool in data analysis. Given measured data, we establish a relationship between independent and dependent variables so that we can use the data predictively. The main concern of Least Squares Data Fitting with Applications is how to do this on a computer with efficient and robust computational methods for linear and nonlinear relationships. The presentation also establishes a link between the statistical setting and the computational issues.

In a number of applications, the accuracy and efficiency of the least squares fit is central, and Per Christian Hansen, Víctor Pereyra, and Godela Scherer survey modern computational methods and illustrate them in fields ranging from engineering and environmental sciences to geophysics. Anyone working with problems of linear and nonlinear least squares fitting will find this book invaluable as a hands-on guide, with accessible text and carefully explained problems.

Included are· an overview of computational methods together with their properties and advantages· topics from statistical regression analysis that help readers to understand and evaluate the computed solutions· many examples that illustrate the techniques and algorithms

Least Squares Data Fitting with Applications can be used as a textbook for advanced undergraduate or graduate courses and professionals in the sciences and in engineering.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Book Description :

A lucid explanation of the intricacies of both simple and complex least squares methods.

About the Author :

Per Christian Hansen is a professor of scientific computing at the Technical University of Denmark. Víctor Pereyra is a consulting professor of energy resources engineering at Stanford University and was a principal at Weidlinger Associates, Los Altos, California. Godela Scherer is a visiting research fellow in the Department of Mathematics at the University of Reading, United Kingdom, and a professor of scientific computing at the Universidad Simón Bolívar, Venezuela.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

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Per Christian Hansen, Victor Pereyra, Godela Scherer
Edité par JOHNS HOPKINS UNIVERSITY PRESS, United States (2012)
ISBN 10 : 1421407868 ISBN 13 : 9781421407869
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Description du livre JOHNS HOPKINS UNIVERSITY PRESS, United States, 2012. Hardback. État : New. New.. Language: English . Brand New Book. As one of the classical statistical regression techniques, and often the first to be taught to new students, least squares fitting can be a very effective tool in data analysis. Given measured data, we establish a relationship between independent and dependent variables so that we can use the data predictively. The main concern of Least Squares Data Fitting with Applications is how to do this on a computer with efficient and robust computational methods for linear and nonlinear relationships. The presentation also establishes a link between the statistical setting and the computational issues.In a number of applications, the accuracy and efficiency of the least squares fit is central, and Per Christian Hansen, Victor Pereyra, and Godela Scherer survey modern computational methods and illustrate them in fields ranging from engineering and environmental sciences to geophysics. Anyone working with problems of linear and nonlinear least squares fitting will find this book invaluable as a hands-on guide, with accessible text and carefully explained problems.Included are* an overview of computational methods together with their properties and advantages* topics from statistical regression analysis that help readers to understand and evaluate the computed solutions* many examples that illustrate the techniques and algorithms Least Squares Data Fitting with Applications can be used as a textbook for advanced undergraduate or graduate courses and professionals in the sciences and in engineering. N° de réf. du libraire AAH9781421407869

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Per Christian Hansen, Victor Pereyra, Godela Scherer
Edité par JOHNS HOPKINS UNIVERSITY PRESS, United States (2012)
ISBN 10 : 1421407868 ISBN 13 : 9781421407869
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The Book Depository US
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Description du livre JOHNS HOPKINS UNIVERSITY PRESS, United States, 2012. Hardback. État : New. New.. Language: English . Brand New Book. As one of the classical statistical regression techniques, and often the first to be taught to new students, least squares fitting can be a very effective tool in data analysis. Given measured data, we establish a relationship between independent and dependent variables so that we can use the data predictively. The main concern of Least Squares Data Fitting with Applications is how to do this on a computer with efficient and robust computational methods for linear and nonlinear relationships. The presentation also establishes a link between the statistical setting and the computational issues.In a number of applications, the accuracy and efficiency of the least squares fit is central, and Per Christian Hansen, Victor Pereyra, and Godela Scherer survey modern computational methods and illustrate them in fields ranging from engineering and environmental sciences to geophysics. Anyone working with problems of linear and nonlinear least squares fitting will find this book invaluable as a hands-on guide, with accessible text and carefully explained problems.Included are* an overview of computational methods together with their properties and advantages* topics from statistical regression analysis that help readers to understand and evaluate the computed solutions* many examples that illustrate the techniques and algorithms Least Squares Data Fitting with Applications can be used as a textbook for advanced undergraduate or graduate courses and professionals in the sciences and in engineering. N° de réf. du libraire AAH9781421407869

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Per Christian Hansen; Víctor Pereyra; Godela Scherer
ISBN 10 : 1421407868 ISBN 13 : 9781421407869
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Description du livre Johns Hopkins Univ. État : BRAND NEW. BRAND NEW Hardcover - This title is now printed on demand - please allow added time for shipment! A Brand New Quality Book from a Full-Time Bookshop in business since 1992!. N° de réf. du libraire 2319014

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ISBN 10 : 1421407868 ISBN 13 : 9781421407869
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Description du livre Johns Hopkins University Press, 2013. HRD. État : New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. N° de réf. du libraire WJ-9781421407869

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Per Christian Hansen, Victor Pereyra, Godela Scherer
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Description du livre Johns Hopkins University Press. Hardback. État : new. BRAND NEW, Least Squares Data Fitting with Applications, Per Christian Hansen, Victor Pereyra, Godela Scherer, As one of the classical statistical regression techniques, and often the first to be taught to new students, least squares fitting can be a very effective tool in data analysis. Given measured data, we establish a relationship between independent and dependent variables so that we can use the data predictively. The main concern of "Least Squares Data Fitting with Applications" is how to do this on a computer with efficient and robust computational methods for linear and nonlinear relationships. The presentation also establishes a link between the statistical setting and the computational issues. In a number of applications, the accuracy and efficiency of the least squares fit is central, and Per Christian Hansen, Victor Pereyra, and Godela Scherer survey modern computational methods and illustrate them in fields ranging from engineering and environmental sciences to geophysics. Anyone working with problems of linear and nonlinear least squares fitting will find this book invaluable as a hands-on guide, with accessible text and carefully explained problems. Included are: an overview of computational methods together with their properties and advantages; topics from statistical regression analysis that help readers to understand and evaluate the computed solutions; and many examples that illustrate the techniques and algorithms. "Least Squares Data Fitting with Applications" can be used as a textbook for advanced undergraduate or graduate courses and professionals in the sciences and in engineering. N° de réf. du libraire B9781421407869

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Per Christian Hansen; Víctor Pereyra; Godela Scherer
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ISBN 10 : 1421407868 ISBN 13 : 9781421407869
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Description du livre Johns Hopkins University Press, 2012. Hardcover. État : New. book. N° de réf. du libraire 1421407868

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Description du livre Johns Hopkins University Press, 2012. Hardcover. État : New. N° de réf. du libraire P111421407868

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