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by C Chen - Related articles

http://www2.sas.com/proceedings/sugi27/p265-27.pdf

These distributions are robust in the sense that outliers have less of an effect on the estimated mean (regression) function than on models based on ...

http://www2.sas.com/proceedings/forum2007/181-2007.pdf

by J COLLIEZ - Cited by 2

http://www.comp.leeds.ac.uk/bmvc2008/proceedings/2006/papers/446.pdf

by J Fox - Cited by 6

http://cran.r-project.org/doc/contrib/Fox-Companion/appendix-robust-regression.pdf

by OLSM Assumptions - Related articles

http://www.nyu.edu/its/socsci/Docs/RobustReg2.pdf

Influential Outliers. 1. Robust regression with robust weight functions. 2. rreg y x1 x2. 3. Heteroskedasticity of residuals ...

http://www.nyu.edu/its/socsci/Docs/robust_reg3.pdf

by CA Assaid - 1997 - Cited by 3

http://scholar.lib.vt.edu/theses/available/etd-3649212139711101/unrestricted/etd.PDF

[16] Rousseeuw, P.J., Leroy, A.M. Robust Regression and Outlier Detection, John Wiley, New York, 1987. [17] Rousseeuw, P. J., Yohai, V.J. Robust Regression ...

http://www.springerlink.com/index/M0U0726839U02325.pdf

of the robust regression methods against the outliers, ...... Robust Regression and Outlier Detection with the ROBUSTREG Procedure. SUGI Paper No.265-27. ...

http://www.springerlink.com/index/G54318112317R380.pdf

by AÖ ÖNDER - Related articles

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by V Verardi - Cited by 2

https://lirias.kuleuven.be/bitstream/123456789/202142/1/KBI_0823.pdf

point of 1/n. This indicates that only one outlier can make the estimates useless. In contrast, some robust regression estimates attaches approximately 50% ...

http://www.iasri.res.in/ebook/EBADAT/3-Diagnostics and Remedial Measures/5-ROBUST REGRESSION1.pdf

by C Kadilar - Cited by 1

http://www.mat.hacettepe.edu.tr/hjms/english/issues/vol36-2/full-text/181-188.pdf

Rousseeuw, P. J and Leroy, A.M., Robust Regression and Outlier Detection, J. Wiley & Sons, Inc., ... Robust regression – identify outliers and problems ...

http://acscinf.org/docs/meetings/237nm/presentations/237nm82.pdf

to as outliers or gross error data) led to the introduction of the so called robust regression methods. Robust regression is con- ...

http://ieeexplore.ieee.org/iel5/3468/19398/00895890.pdf

[14] P. J. Rousseeuw, and M. A. Leroy, Robust Regression and Outlier Detection, New York: Wiley, 1987. [15] F. R. Hampel, E. M. Ronchetti, P. J. Rousseeuw ...

http://ieeexplore.ieee.org/iel5/4625776/4630333/04630383.pdf?arnumber=4630383

(1987), Robust Regression and Outlier dection, John. Wiley & Sons, New York. RESUME. In this paper we consider the problem of identifying and testing the ...

http://isi.cbs.nl/iamamember/cd2/pdf/306.PDF

signed to be less sensitive than least squares to outliers and offers a compromise to valid outlier deletion are robust regression techniques. ...

http://www.informaworld.com/index/772463725.pdf

Robust Regression and Outlier Detection. Wiley. Rousseeuw, P. J., van Zomeren, B. C. (1990). Unmasking multivariate outliers and leverage points. ...

http://www.informaworld.com/index/905243108.pdf

by S Walfish - Cited by 2

http://www.statisticaloutsourcingservices.com/Outlier2.pdf

Dealing with outliers (Stata) – Robust Regression Techniques. One advantage of Stata over SPSS is that it includes so-called robust regression routines that ...

http://www.bsos.umd.edu/gvpt/uslaner/outlier.pdf

by R Adnan - Related articles

http://www.fs.utm.my/matematika/images/stories/matematika/200319105.pdf

P.J. Rousseeuw, and A.M. Leroy (1987) Robust Regression and Outlier Detection John Wiley and sons, New York. T.S. Arthanari and Y Dodge (1993). ...

http://repositorium.sdum.uminho.pt/bitstream/1822/5728/1/abstract.pdf

Colin Chen (2002), —Robust Regression and Outlier Detection with the ROBUSTREG Procedure“, SUGI 27. Zaman, A., Rousseeuw, P.J., and Orhan, M. (2001), ...

http://www.lexjansen.com/pharmasug/2004/technicaltechniques/tt16.pdf

by K Athanassios - Related articles

http://www.agro-montpellier.fr/sfds/CD/textes/kondylis1.pdf

Standard robust regression estima- tion methods no longer apply since the effect of even a single outlier (one non-zero component in U ) is now ...

https://www.irisa.fr/temics/staff/fuchs/icassp99.pdf

by DA Jackson - 2004 - Cited by 12

http://www.umaine.edu/marine/people/sites/ychen/Publication_papers/Robust_PCA.pdf

by NK Jajo - 2005 - Related articles

http://www.idescat.cat/sort/sort291/29.1.1.jajo.pdf

Robust Regression and Outlier Detection. Wiley, New York, 2003. [12] Simpson, J. R. and Montgomery, D. C. OA performance based assessment of robust ...

http://www.iaeng.org/publication/WCE2009/WCE2009_pp1275-1280.pdf

by K Ho - Cited by 3

http://mlrv.ua.edu/2000/Vol26(2)/honaugher.pdf

by D Blatná - Related articles

http://statistika.vse.cz/konference/amse/PDF/Blatna.pdf

robust regression and outliers detection, such as destruction of the good ... applications of outlier detection and robust regression, the methods most ...

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by TR Regression - Related articles

http://www.ics.forth.gr/~argyros/mypapers/1996_09_bmvc_imd_in_depth_layers.pdf

by R Finger - Cited by 5

http://www.ied.ethz.ch/pub/pdf/IED_WP02_Finger.pdf

by A Bagheri - 2010outliers accurately. Moreover, robust regression methods are more resistant to .... [38] P. J. Rousseuw, and A. M. Leroy, Robust Regression and Outlier ...

http://www.m-hikari.com/ams/forth/bagheriAMS25-28-2010.pdf

Some key words: Discriminant analysis; Grouped data; Order statistics; Outlier; Robust regression. 1. INTRODUCTION. In the past, fitting a straight line by ...

http://biomet.oxfordjournals.org/cgi/reprint/64/1/15.pdf

Robust Regression and Outlier Detection. Wiley, New York. Rousseeuw, P. J., Van Driessen, K., 1999. Computing LTS regression for large data sets. ...

http://www4.nccu.edu.tw/ezkm11/ezcatfiles/cust/img/img/66.pdf

regression and outlier identification based on robust re- ..... Robust regression and outlier detection. Wiley and Sons, New York. ...

http://papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID1430342_code400523.pdf?abstractid=1430342&mirid=1

2. Robust Regression. ● These estimates are very robust to outliers in both the errors and the explanatory variables, but can be unstable nonetheless. ...

http://math.ucsd.edu/~wgarner/research/pdf/robust_regression.pdf

by G Zioutas - Related articles

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Rousseeuw PJ, Leroy AM (1987) Robust Regression and Outlier Detection. John Wiley and Sons,. New York. Sturza MA (1988) Navigation system Integrity ...

http://www.gmat.unsw.edu.au/snap/publications/knight&wang2009a.pdf

by G ANTILLE - Cited by 5

http://mephisto.unige.ch/pub/publications/gr/AntilleRitschard_CommStat1990.pdf

p. 17/18. Other resistant fitting methods s If ψ is not redescending (i.e. does not return to 0) then robust regression is still susceptible to outliers. ...

http://www-stat.stanford.edu/~jtaylo/courses/stats203/notes/robust.pdf

by A Muhlbauer - Related articles

http://www.meteo.physik.uni-muenchen.de/dkt/abstracts/klimaparameter/muehlbauer_v.pdf

Robust Statistics, Robust Regression and Quantile Regression. By Keming Yu ..... Figure 5: Least squares regression with outliers, phonecal data ...

http://www.carisma.brunel.ac.uk/presentations/2005/Yu-Robust.pdf

and/or outliers on regression estimates. – In this context, “robust” refers to the shape of a distribution (specifically, when it differs from the ...

http://polisci.msu.edu/jacoby/icpsr/regress3/lectures/week3/12.Robust.pdf

number of sires, a single outlier can have a large influ- ence on the resulting regression equation. Robust regres- sion procedures can provide protection ...

http://jds.fass.org/cgi/reprint/82/9/2023.pdf

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http://www.ec.bgu.ac.il/monaster/admin/papers/194.pdf

by D Dorsett - Related articles

http://smu.edu/statistics/TechReports/TR157.pdf

Cluster analysis, LS regression, robust regression, outliers' detection, criteria of regression model selection. Mathematics Subject Classification: 62J05; ...

http://journal.aplimat.com/volume_1_2008/Journal_volume_1/Number_2/Blatna.pdf