Mathematical Algorithms for Linear Regression
Published on 1. January 1992
Book
Hardback
272 pages
978-0-12-656460-0 (ISBN)
Description
This volume presents an overview of numerical methods for linear regression, including FORTRAN subroutines. Linear regression has useful applications in business, statistics and engineering and this work covers all three important cases where p=1,2 and infinity.
More details
Series
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
College/higher education
Professional and scholarly
Illustrations
index
Dimensions
Height: 230 mm
Weight
611 gr
ISBN-13
978-0-12-656460-0 (9780126564600)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Helmuth Späth | Werner Rheinboldt
Mathematical Algorithms for Linear Regression
E-Book
05/2014
Academic Press
€54.95
Available for download
Content
Linear L; regression; robust regression (ROBUST); ridge regression (RRL2, RRL1, RRL1); linear L; regression with linear constraints; linear L; regression with non-negative parameters; orthogonal linear L; regression; final remarks; list of subroutines; examples.