The Resource Least squares data fitting with applications, Per Christian Hansen, Víctor Pereyra, Godela Scherer, (electronic book)
Least squares data fitting with applications, Per Christian Hansen, Víctor Pereyra, Godela Scherer, (electronic book)
Resource Information
The item Least squares data fitting with applications, Per Christian Hansen, Víctor Pereyra, Godela Scherer, (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.This item is available to borrow from 1 library branch.
Resource Information
The item Least squares data fitting with applications, Per Christian Hansen, Víctor Pereyra, Godela Scherer, (electronic book) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Liverpool.
This item is available to borrow from 1 library branch.
- Summary
- "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."--Publisher's website
- Language
- eng
- Extent
- xv, 305 p.
- Isbn
- 9781421407869
- Label
- Least squares data fitting with applications
- Title
- Least squares data fitting with applications
- Statement of responsibility
- Per Christian Hansen, Víctor Pereyra, Godela Scherer
- Language
- eng
- Summary
- "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."--Publisher's website
- Cataloging source
- MiAaPQ
- http://library.link/vocab/creatorName
- Hansen, Per Christian
- Illustrations
-
- illustrations
- charts
- Index
- index present
- LC call number
- QA275
- LC item number
- .H36 2013
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- http://library.link/vocab/relatedWorkOrContributorName
-
- Pereyra, V.
- Scherer, Godela
- http://library.link/vocab/subjectName
-
- Least squares
- Curve fitting
- Label
- Least squares data fitting with applications, Per Christian Hansen, Víctor Pereyra, Godela Scherer, (electronic book)
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Control code
- EBC3318664
- Dimensions
- unknown
- Extent
- xv, 305 p.
- Form of item
-
- online
- electronic
- Isbn
- 9781421407869
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- ill.
- Reproduction note
- Electronic resource.
- Specific material designation
- remote
- Label
- Least squares data fitting with applications, Per Christian Hansen, Víctor Pereyra, Godela Scherer, (electronic book)
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Control code
- EBC3318664
- Dimensions
- unknown
- Extent
- xv, 305 p.
- Form of item
-
- online
- electronic
- Isbn
- 9781421407869
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other physical details
- ill.
- Reproduction note
- Electronic resource.
- Specific material designation
- remote
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/portal/Least-squares-data-fitting-with-applications-Per/ahwYmhOSu3o/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/portal/Least-squares-data-fitting-with-applications-Per/ahwYmhOSu3o/">Least squares data fitting with applications, Per Christian Hansen, Víctor Pereyra, Godela Scherer, (electronic book)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">University of Liverpool</a></span></span></span></span></div>
