Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2017, Cilt: 10 Sayı: 2, 33 - 39, 31.07.2017

Öz

Kaynakça

  • Barry, P.J., Beatty, J.C., and Goldman R.N. (1992). Unimodal Properties of B-Splines and Bernstein Basis Functions. Computer-Aided Design, 24(12), 627-636.
  • Bernstein, S.N. (1912). Demonstration du theor`eme de Weierstrass fondee. Communications of the Kharkov Mathematical Society, 13, 1{2.
  • Budakc, G. and Oruc, H. (2012). Bernstein-Schoenberg operator with knots at the q-integers. Mathematical and Computer Modelling, 56(3-4), 56-59.
  • Carnicer, J.M. and Pe~na, J. M. (1994). Totally positive bases for shape preserving curve design and optimality of B-splines. Computer Aided Geometric Design, 11(6), 633-654.
  • Farouki, R.T. (2012). The Bernstein polynomial basis: a centennial retrospective. Computer Aided Geometric Design, 29(6), 379-419.
  • Feller, W. (1971). An Introduction to Probability Theory and Its Applications, Volume 2, 2nd edition. Wiley, New York.
  • Goldman, R.N. (1988). Urn models, Approximations, and Splines. Journal of Approximation Theory, 54, 1-66.
  • Goldman, R.N. (2003). Pyramid Algorithms, A Dynamic Programming Approach to Curves and Surfaces for Geometric Modeling. Elsevier Science, USA.
  • Goodman, T.N.T. and Sharma, A. (1985). A property of Bernstein-Schoenberg spline operators. Proceedings of the Edinburgh Mathematical Society, 28, 333-340.
  • Karlin, S. (1968). Total Positivity, Vol. 1, Stanford University Press, California.
  • Marsden, M. and Schoenberg, I. J. (1966). On Variation Diminishing Spline Approximation Methods. Mathematica, 8(31), 61-82.
  • Marsden, M. J. (1970). An identity for spline functions with applications to variation-diminishing spline approximation. Journal of Approximation Theory, 3, 7-49.
  • Oruç, H. and Phillips, G.M. (2003). q{Bernstein polynomials and Bezier curves. Journal of Computational and Applied Mathematics, 151, 1-12.
  • Phillips, G. M. (2010). A survey of results on the q-Bernstein polynomials. IMA Journal of Numerical Analysis, 30, 277-288.
  • Schoenberg, I.J. (1959). On variation diminishing approximation methods. On Numerical Approximation, MRC Symposium (R.E. Langer ed.). University of Wisconsin Press, Madison, 249-274.
  • Turnbull, B.C. and Ghosh, S.K. (2014). Unimodal density estimation using Bernstein polynomials. Computational Statistics and Data Analysis, 72, 13-29

PROBABILISTIC APPROACH TO THE SCHOENBERG SPLINE OPERATOR AND UNIMODAL DENSITY ESTIMATOR

Yıl 2017, Cilt: 10 Sayı: 2, 33 - 39, 31.07.2017

Öz

Using Chebyshev's inequality, we provide a probabilistic proof of the uniform convergence for continuous functions on a closed interval by Schoenberg's variation diminishing spline operator. Furthermore, we introduce a unimodal density estimator based on this spline operator and thus generalize that of Bernstein polynomials and beta density. The advantage of this method is the local property. That is, re ning the knots while keeping the degree xed of B-splines yields better estimates. We also give a numerical example to verify our results.

Kaynakça

  • Barry, P.J., Beatty, J.C., and Goldman R.N. (1992). Unimodal Properties of B-Splines and Bernstein Basis Functions. Computer-Aided Design, 24(12), 627-636.
  • Bernstein, S.N. (1912). Demonstration du theor`eme de Weierstrass fondee. Communications of the Kharkov Mathematical Society, 13, 1{2.
  • Budakc, G. and Oruc, H. (2012). Bernstein-Schoenberg operator with knots at the q-integers. Mathematical and Computer Modelling, 56(3-4), 56-59.
  • Carnicer, J.M. and Pe~na, J. M. (1994). Totally positive bases for shape preserving curve design and optimality of B-splines. Computer Aided Geometric Design, 11(6), 633-654.
  • Farouki, R.T. (2012). The Bernstein polynomial basis: a centennial retrospective. Computer Aided Geometric Design, 29(6), 379-419.
  • Feller, W. (1971). An Introduction to Probability Theory and Its Applications, Volume 2, 2nd edition. Wiley, New York.
  • Goldman, R.N. (1988). Urn models, Approximations, and Splines. Journal of Approximation Theory, 54, 1-66.
  • Goldman, R.N. (2003). Pyramid Algorithms, A Dynamic Programming Approach to Curves and Surfaces for Geometric Modeling. Elsevier Science, USA.
  • Goodman, T.N.T. and Sharma, A. (1985). A property of Bernstein-Schoenberg spline operators. Proceedings of the Edinburgh Mathematical Society, 28, 333-340.
  • Karlin, S. (1968). Total Positivity, Vol. 1, Stanford University Press, California.
  • Marsden, M. and Schoenberg, I. J. (1966). On Variation Diminishing Spline Approximation Methods. Mathematica, 8(31), 61-82.
  • Marsden, M. J. (1970). An identity for spline functions with applications to variation-diminishing spline approximation. Journal of Approximation Theory, 3, 7-49.
  • Oruç, H. and Phillips, G.M. (2003). q{Bernstein polynomials and Bezier curves. Journal of Computational and Applied Mathematics, 151, 1-12.
  • Phillips, G. M. (2010). A survey of results on the q-Bernstein polynomials. IMA Journal of Numerical Analysis, 30, 277-288.
  • Schoenberg, I.J. (1959). On variation diminishing approximation methods. On Numerical Approximation, MRC Symposium (R.E. Langer ed.). University of Wisconsin Press, Madison, 249-274.
  • Turnbull, B.C. and Ghosh, S.K. (2014). Unimodal density estimation using Bernstein polynomials. Computational Statistics and Data Analysis, 72, 13-29
Toplam 16 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Araştırma Makalesi
Yazarlar

Özlem Ege Oruç

M. Sami Erdoğan Bu kişi benim

Halil Oruç

Yayımlanma Tarihi 31 Temmuz 2017
Kabul Tarihi 10 Mart 2017
Yayımlandığı Sayı Yıl 2017 Cilt: 10 Sayı: 2

Kaynak Göster

APA Ege Oruç, Ö., Erdoğan, M. S., & Oruç, H. (2017). PROBABILISTIC APPROACH TO THE SCHOENBERG SPLINE OPERATOR AND UNIMODAL DENSITY ESTIMATOR. Istatistik Journal of The Turkish Statistical Association, 10(2), 33-39.
AMA Ege Oruç Ö, Erdoğan MS, Oruç H. PROBABILISTIC APPROACH TO THE SCHOENBERG SPLINE OPERATOR AND UNIMODAL DENSITY ESTIMATOR. IJTSA. Temmuz 2017;10(2):33-39.
Chicago Ege Oruç, Özlem, M. Sami Erdoğan, ve Halil Oruç. “PROBABILISTIC APPROACH TO THE SCHOENBERG SPLINE OPERATOR AND UNIMODAL DENSITY ESTIMATOR”. Istatistik Journal of The Turkish Statistical Association 10, sy. 2 (Temmuz 2017): 33-39.
EndNote Ege Oruç Ö, Erdoğan MS, Oruç H (01 Temmuz 2017) PROBABILISTIC APPROACH TO THE SCHOENBERG SPLINE OPERATOR AND UNIMODAL DENSITY ESTIMATOR. Istatistik Journal of The Turkish Statistical Association 10 2 33–39.
IEEE Ö. Ege Oruç, M. S. Erdoğan, ve H. Oruç, “PROBABILISTIC APPROACH TO THE SCHOENBERG SPLINE OPERATOR AND UNIMODAL DENSITY ESTIMATOR”, IJTSA, c. 10, sy. 2, ss. 33–39, 2017.
ISNAD Ege Oruç, Özlem vd. “PROBABILISTIC APPROACH TO THE SCHOENBERG SPLINE OPERATOR AND UNIMODAL DENSITY ESTIMATOR”. Istatistik Journal of The Turkish Statistical Association 10/2 (Temmuz 2017), 33-39.
JAMA Ege Oruç Ö, Erdoğan MS, Oruç H. PROBABILISTIC APPROACH TO THE SCHOENBERG SPLINE OPERATOR AND UNIMODAL DENSITY ESTIMATOR. IJTSA. 2017;10:33–39.
MLA Ege Oruç, Özlem vd. “PROBABILISTIC APPROACH TO THE SCHOENBERG SPLINE OPERATOR AND UNIMODAL DENSITY ESTIMATOR”. Istatistik Journal of The Turkish Statistical Association, c. 10, sy. 2, 2017, ss. 33-39.
Vancouver Ege Oruç Ö, Erdoğan MS, Oruç H. PROBABILISTIC APPROACH TO THE SCHOENBERG SPLINE OPERATOR AND UNIMODAL DENSITY ESTIMATOR. IJTSA. 2017;10(2):33-9.