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Table of contents (6 chapters)
Keywords
About this book
The monograph is in two parts. The first part consists of four chapters and deals with the computational aspects for solving linear models that have applicability in diverse areas. The remaining two chapters form the second part, which concentrates on numerical and computational methods for solving various problems associated with seemingly unrelated regression equations (SURE) and simultaneous equations models.
The practical issues of the parallel algorithms and the theoretical aspects of the numerical methods will be of interest to a broad range of researchers working in the areas of numerical and computational methods in statistics and econometrics, parallel numerical algorithms, parallel computing and numerical linear algebra. The aim of this monograph is to promote research in the interface of econometrics, computational statistics, numerical linear algebra and parallelism.
Authors and Affiliations
Bibliographic Information
Book Title: Parallel Algorithms for Linear Models
Book Subtitle: Numerical Methods and Estimation Problems
Authors: Erricos John Kontoghiorghes
Series Title: Advances in Computational Economics
DOI: https://doi.org/10.1007/978-1-4615-4571-2
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2000
Hardcover ISBN: 978-0-7923-7720-7Published: 31 January 2000
Softcover ISBN: 978-1-4613-7064-2Published: 17 October 2012
eBook ISBN: 978-1-4615-4571-2Published: 06 December 2012
Series ISSN: 0929-130X
Edition Number: 1
Number of Pages: XVII, 183
Topics: Economic Theory/Quantitative Economics/Mathematical Methods, Statistics for Business, Management, Economics, Finance, Insurance, Econometrics