Showing 1 - 20 results of 56 for search '', query time: 0.21s Refine Results
  1. 1
    A unified approach to estimating tail behavior /
    by Grimshaw, Scott D., 1962-
    Published 1989
    Book
  2. 2
    Testing goodness of fit of polynomial models via spline smoothing techniques /
    by Chen, Juei-Chao, 1955-
    Published 1992
    Book
  3. 3
    Boundary kernel estimation of the two sample comparison density function /
    by Alexander, William Pyle, 1960-
    Published 1989
    Book
  4. 4
    Nonparametric regression with long-range dependence /
    Book
  5. 5
    Convergence rates in density estimation for data from infinite-order moving average processes /
    Book
  6. 6
    Kernel regression estimation when the boundary region is large /
    Book
  7. 7
    A geometrical method for removing edge effects from kernel-type nonparametric regression estimators /
    Book
  8. 8
    Kernel regression estimation with autocorrelated errors /
    Book
  9. 9
    Optimizing the smoothed bootstrap /
    by Wang, Suojin
    Published 1992
    Book
  10. 10
    Kernal estimation of densities with discontinuities or discontinuous derivatives /
    Book
  11. 11
    Strong uniform convergence of density estimators on spheres /
    by Ruymgaart, Frits H., 1940-
    Published 1988
    Book
  12. 12
    Calibrating for differences /
    Book
  13. 13
    Abelian and Tauberian theorems relating the smoothness of an integrable function to the tail behavior of its Fourier transform /
    by Cline, Daren B. H.
    Published 1988
    Book
  14. 14
    Data-driven bandwidth choice for density estimation based on dependent data /
    by Hart, Jeffrey D., Vieu, Philippe
    Published 1988
    Book
  15. 15
    Convergence rates for estimation in certain partially linear models /
    Book
  16. 16
    Curve fitting by polynomial-trigonometric regression /
    Book
  17. 17
    On tail index estimation using dependent data /
    by Hsing, Tailen, 1955-
    Published 1989
    Book
  18. 18
    Trigonometric series regression estimators with an application to partially linear models /
    Book
  19. 19
    A bias reduction theorem with applications in nonparametric regression /
    Book
  20. 20
    Bootstrap test for difference between means in nonparametric regression /
    Book
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