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

Producción científica: Article › revisión exhaustiva

4 Citas (Scopus)

Resumen

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.

Idioma original	English
Páginas (desde-hasta)	947-959
Número de páginas	13
Publicación	Communications in Statistics Part B: Simulation and Computation
Volumen	26
N.º	3
DOI	https://doi.org/10.1080/03610919708813419
Estado	Published - 1997

Nota bibliográfica

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.

Financiación

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.

Financiadores	Número del financiador
National Science Foundation (NSF)	DMS-9508543
National Security Agency	MDA904-97-1-0009

ASJC Scopus subject areas

Statistics and Probability
Modeling and Simulation

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10.1080/03610919708813419

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KW - MM-estimates

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Some software for computing robust linear or nonlinear regression estimators

Resumen

Nota bibliográfica

Financiación

ASJC Scopus subject areas

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