Free Access
Volume 8, August 2004
Page(s) 150 - 168
Published online 15 September 2004
  1. H. Abbar and Ch. Suquet, Estimation L2 du contour d'un processus de Poisson homogène sur le plan. Pub. IRMA Lille 31 II (1993). [Google Scholar]
  2. D. Bosq, Contribution à la théorie de l'estimation fonctionnelle. Publications de l'Institut de Statistique de l'Université de Paris XIX (1977) 1–96. [Google Scholar]
  3. D. Bosq and J.P. Lecoutre, Théorie de l'estimation fonctionnelle. Economica, Paris (1987). [Google Scholar]
  4. A. Cowling and P. Hall, On pseudodata methods for removing boundary effects in kernel density estimation. J. Roy. Statist. Soc. B 58 (1996) 551–563. [Google Scholar]
  5. D. Deprins, L. Simar and H. Tulkens, Measuring Labor Efficiency in Post Offices, in The Performance of Public Enterprises: Concepts and Measurements, M. Marchand, P. Pestieau and H. Tulkens Ed., North Holland, Amsterdam (1984). [Google Scholar]
  6. L. Gardes, Estimating the support of a Poisson process via the Faber-Shauder basis and extreme values. Publications de l'Institut de Statistique de l'Université de Paris XXXXVI (2002) 43–72. [Google Scholar]
  7. J. Geffroy, Sur un problème d'estimation géométrique. Publications de l'Institut de Statistique de l'Université de Paris XIII (1964) 191–200. [Google Scholar]
  8. S. Girard, On the asymptotic normality of the L1 error for Haar series estimates of Poisson point processes boundaries. Statist. Probab. Lett. 66 (2004) 81–90. [CrossRef] [MathSciNet] [Google Scholar]
  9. S. Girard and P. Jacob, Extreme values and Haar series estimates of point processes boundaries. Scand. J. Statist. 30 (2003) 369–384. [CrossRef] [MathSciNet] [Google Scholar]
  10. S. Girard and P. Jacob, Projection estimates of point processes boundaries. J. Statist. Plann. Inference 116 (2003) 1–15. [CrossRef] [MathSciNet] [Google Scholar]
  11. P. Hall, B.U. Park and S.E. Stern, On polynomial estimators of frontiers and boundaries. J. Multiv. Analysis 66 (1998) 71–98. [CrossRef] [MathSciNet] [Google Scholar]
  12. K. Knight, Limiting distributions of linear programming estimators. Extremes 4 (2001) 87–103. [CrossRef] [MathSciNet] [Google Scholar]
  13. W. Härdle, B.U. Park and A.B. Tsybakov, Estimation of a non sharp support boundaries. J. Multiv. Analysis 43 (1995) 205–218. [Google Scholar]
  14. W. Härdle, P. Hall and L. Simar, Iterated bootstrap with application to frontier models. J. Productivity Anal. 6 (1995) 63–76. [CrossRef] [Google Scholar]
  15. A. Hardy and J.P. Rasson, Une nouvelle approche des problèmes de classification automatique. Statistique et analyse des données 7 (1982) 41–56. [Google Scholar]
  16. P. Jacob, Estimation du contour discontinu d'un processus ponctuel sur le plan. Publications de l'Institut de Statistique de l'Université de Paris XXIX (1984) 1–26. [Google Scholar]
  17. P. Jacob and P. Suquet, Estimating the edge of a Poisson process by orthogonal series. J. Statist. Plann. Inference 46 (1995) 215–234. [CrossRef] [MathSciNet] [Google Scholar]
  18. A. Korostelev, L. Simar and A.B. Tsybakov, Efficient estimation of monotone boundaries. Ann. Statist. 23 (1995) 476–489. [CrossRef] [MathSciNet] [Google Scholar]
  19. A.P. Korostelev and A.B. Tsybakov, Minimax theory of image reconstruction. Lect. Notes Statist. 82 (1993). [Google Scholar]
  20. E. Mammen and A.B. Tsybakov, Asymptotical minimax recovery of set with smooth boundaries. Ann. Statist. 23 (1995) 502–524. [Google Scholar]
  21. R.D. Reiss, A course on point processes. Springer series in statistics (1993). [Google Scholar]
  22. A. Renyi and R. Sulanke, Uber die konvexe Hülle von n zufälligen gewählten Punkten. Z. Wahrscheinlichkeitstheorie verw. Geb. 2 (1963) 75–84. [CrossRef] [Google Scholar]

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