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Abstract:

We consider the problem of constructing robust nonparametric confidence intervals and tests of hypothesis for the median when the data distribution is unknown and the data may contain a small fraction of contamination. We propose a modification of the sign test (and its associated confidence interval) which attains the nominal significance level (probability coverage) for any distribution in the contamination neighborhood of a continuous distribution. We also define some measures of robustness and efficiency under contamination for confidence intervals and tests. These measures are computed for the proposed procedures. © Institute of Mathematical Statistics, 2004.

Registro:

Documento: Artículo
Título:Robust nonparametric inference for the median
Autor:Yohai, V.J.; Zamar, R.H.
Filiación:University of Buenos Aires, CONICET, Argentina
University of British Columbia, Canada
Departamento de MatemáTicas, Facultad de Ciencias Exactas y Naturales, Ciudad Universitaria, PabellóN 1, 1428 Buenos Aires, Argentina
Department of Statistics, University of British Columbia, 6356 Agricultural Road, Vancouver, BC V6T 1Z2, Canada
Palabras clave:Confidence interval; Nonparametric; Robust; Two-sided test
Año:2004
Volumen:32
Número:5
Página de inicio:1841
Página de fin:1857
DOI: http://dx.doi.org/10.1214/009053604000000634
Título revista:Annals of Statistics
Título revista abreviado:Ann. Stat.
ISSN:00905364
PDF:https://bibliotecadigital.exactas.uba.ar/download/paper/paper_00905364_v32_n5_p1841_Yohai.pdf
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00905364_v32_n5_p1841_Yohai

Referencias:

  • Bednarski, T., Binary experiments, minimax tests and 2-alternating capacities (1982) Ann. Statist., 10, pp. 226-232
  • Brown, G.W., Mood, A.M., On median tests for linear hypotheses (1951) Proc. Second Berkeley Symp. Math. Statist. Probab., pp. 159-166. , Univ. California Press, Berkeley
  • Fraiman, R., Yohai, V.J., Zamar, R.H., Optimal robust M-estimates of location (2001) Ann. Statist., 29, pp. 194-223
  • Hampel, F.R., A general qualitative definition of robustness (1971) Ann. Math. Statist., 42, pp. 1887-1896
  • Hampel, F.R., Ronchetti, E.M., Rousseeuw, P.J., Stahel, W.A., (1986) Robust Statistics: The Approach Based on Influence Functions, , Wiley, New York
  • He, X., Simpson, D.G., Portnoy, S., Breakdown robustness of tests (1990) J. Amer. Statist. Assoc., 85, pp. 446-452
  • Hettmansperger, T.P., (1984) Statistical Inference Based on Ranks, , Wiley, New York
  • Hettmansperger, T.P., Sheather, S.J., Confidence intervals based on interpolated order statistics (1986) Statist. Probab. Lett., 4, pp. 75-79
  • Hub, E.R.P.J., A robust version of the probability ratio test (1965) Ann. Math. Statist., 36, pp. 1753-1758
  • Huber, P.J., Robust confidence limits (1968) Z. Wahrsch. Verw. Gebiete, 10, pp. 269-278
  • Huber-Carol, C., (1970) Etude Asymptotique de Tests Robustes, , Ph.D. thesis, Eidgenössische Technische Hochschule, Zürich
  • Lambert, D., Influence functions for testing (1981) J. Amer. Statist. Assoc., 76, pp. 649-657
  • Markatou, M., Ronchetti, E.M., Robust inference: The approach based on influence functions (1997) Robust Inference. Handbook of Statistics, 15, pp. 49-75. , (G. S. Maddala and C. R. Rao, eds.) North-Holland, Amsterdam
  • Morgenthaler, S., Robust confidence intervals for a location parameter: The configural approach (1986) J. Amer. Statist. Assoc., 81, pp. 518-525
  • Rieder, H., A robust asymptotic testing model (1978) Ann. Statist., 6, pp. 1080-1094
  • Rieder, H., Robustness of one- And two-sample rank tests against gross errors (1981) Ann. Statist., 9, pp. 245-265
  • Rieder, H., Qualitative robustness of rank tests (1982) Ann. Statist., 10, pp. 205-211
  • Rousseeuw, P.J., Ronchetti, E.M., Influence curves of general statistics (1981) J. Comput. Appl. Math., 7, pp. 161-166
  • Ylvisaker, D., Test resistance (1977) J. Amer. Statist. Assoc., 72, pp. 551-556
  • Yohai, V.J., Zamar, R.H., Nonparametric and robust inference for the median (2004) Technical Report, 315. , http://hajek.stat.ubc.ca/~ruben/website/publications.htm, Dept. Statistics, Univ. British Columbia

Citas:

---------- APA ----------
Yohai, V.J. & Zamar, R.H. (2004) . Robust nonparametric inference for the median. Annals of Statistics, 32(5), 1841-1857.
http://dx.doi.org/10.1214/009053604000000634
---------- CHICAGO ----------
Yohai, V.J., Zamar, R.H. "Robust nonparametric inference for the median" . Annals of Statistics 32, no. 5 (2004) : 1841-1857.
http://dx.doi.org/10.1214/009053604000000634
---------- MLA ----------
Yohai, V.J., Zamar, R.H. "Robust nonparametric inference for the median" . Annals of Statistics, vol. 32, no. 5, 2004, pp. 1841-1857.
http://dx.doi.org/10.1214/009053604000000634
---------- VANCOUVER ----------
Yohai, V.J., Zamar, R.H. Robust nonparametric inference for the median. Ann. Stat. 2004;32(5):1841-1857.
http://dx.doi.org/10.1214/009053604000000634