Some software for computing robust linear or nonlinear regression estimators

Arnold J. Stromberg

doi:10.1080/03610919708813419

Some software for computing robust linear or nonlinear regression estimators

Arnold J. Stromberg

Dr. Bing Zhang Department of Statistics

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

One reason that robust methods are often not used in practice is the lack of affordable easy to use software. This paper addresses this issue by providing instructions, examples, and code for using Fortran and LISPSTAT to compute MM-estimates and other robust regression estimates. LISPSTAT is a graphical computing environment available for Unix-based, Dos and Macintosh computers at no charge to the user.

Original language	English
Pages (from-to)	947-959
Number of pages	13
Journal	Communications in Statistics Part B: Simulation and Computation
Volume	26
Issue number	3
DOIs	https://doi.org/10.1080/03610919708813419
State	Published - 1997

Bibliographical note

Funding Information:
Partial support for this work was provided by National Security Agency Grant MDA904-97-1-0009. Some computations were done at the High Performance Computing Laboratory at the University of Kentucky which was funded in part by NSF Grant DMS-9508543.

Keywords

Computational
LISPSTAT
MM-estimates

ASJC Scopus subject areas

Statistics and Probability
Modeling and Simulation

Access to Document

10.1080/03610919708813419

Cite this

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abstract = "One reason that robust methods are often not used in practice is the lack of affordable easy to use software. This paper addresses this issue by providing instructions, examples, and code for using Fortran and LISPSTAT to compute MM-estimates and other robust regression estimates. LISPSTAT is a graphical computing environment available for Unix-based, Dos and Macintosh computers at no charge to the user.",

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note = "Funding Information: Partial support for this work was provided by National Security Agency Grant MDA904-97-1-0009. Some computations were done at the High Performance Computing Laboratory at the University of Kentucky which was funded in part by NSF Grant DMS-9508543.",

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PY - 1997

Y1 - 1997

N2 - One reason that robust methods are often not used in practice is the lack of affordable easy to use software. This paper addresses this issue by providing instructions, examples, and code for using Fortran and LISPSTAT to compute MM-estimates and other robust regression estimates. LISPSTAT is a graphical computing environment available for Unix-based, Dos and Macintosh computers at no charge to the user.

AB - One reason that robust methods are often not used in practice is the lack of affordable easy to use software. This paper addresses this issue by providing instructions, examples, and code for using Fortran and LISPSTAT to compute MM-estimates and other robust regression estimates. LISPSTAT is a graphical computing environment available for Unix-based, Dos and Macintosh computers at no charge to the user.

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KW - MM-estimates

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ER -

Some software for computing robust linear or nonlinear regression estimators

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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