Modern ideas in data reduction

Data resolution is an important task in astronomy, one that is generally undertaken using the method of least squares. But mathematically the least squares criterion is only one of an infinite number of ways to minimize the p-th norm of the vector of residuals. Nevertheless, given certain assumption...

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Detalles Bibliográficos
Autor principal: Branham, R.L.
Formato: Articulo Comunicacion
Lenguaje:Español
Publicado: 1987
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/138863
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id I19-R120-10915-138863
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Español
topic Astronomía
Galaxias
spellingShingle Astronomía
Galaxias
Branham, R.L.
Modern ideas in data reduction
topic_facet Astronomía
Galaxias
description Data resolution is an important task in astronomy, one that is generally undertaken using the method of least squares. But mathematically the least squares criterion is only one of an infinite number of ways to minimize the p-th norm of the vector of residuals. Nevertheless, given certain assumptions one can show that the least squares solution is the best. Various alternative techniques for reducing data are presented. For a badly conditioned system a least squares reduction by orthogonal triangularization (Givens, Householder) may be useful. Iteratively reweighted least squares is a robust least squares procedure. The L₁ method is a robust, non-least squares procedure for solving an overdetermined system. A comparison of a least squares and an L₁ solution, with their respective errors, should give a good idea of the real errors present in the system.
format Articulo
Comunicacion
author Branham, R.L.
author_facet Branham, R.L.
author_sort Branham, R.L.
title Modern ideas in data reduction
title_short Modern ideas in data reduction
title_full Modern ideas in data reduction
title_fullStr Modern ideas in data reduction
title_full_unstemmed Modern ideas in data reduction
title_sort modern ideas in data reduction
publishDate 1987
url http://sedici.unlp.edu.ar/handle/10915/138863
work_keys_str_mv AT branhamrl modernideasindatareduction
bdutipo_str Repositorios
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