• 제목/요약/키워드: Estimates

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Diagnostic for Smoothing Parameter Estimate in Nonparametric Regression Model

  • In-Suk Lee;Won-Tae Jung
    • Communications for Statistical Applications and Methods
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    • 제2권2호
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    • pp.266-276
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    • 1995
  • We have considered the study of local influence for smoothing parameter estimates in nonparametric regression model. Practically, generalized cross validation(GCV) does not work well in the presence of data perturbation. Thus we have proposed local influence measures for GCV estimates and examined effects of diagnostic by above measures.

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Adaptive Kernel Density Estimation

  • Faraway, Julian.;Jhun, Myoungshic
    • Communications for Statistical Applications and Methods
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    • 제2권1호
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    • pp.99-111
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    • 1995
  • It is shown that the adaptive kernel methods can potentially produce superior density estimates to the fixed one. In using the adaptive estimates, problems pertain to the initial choice of the estimate can be solved by iteration. Also, simultaneous recommended for variety of distributions. Some data-based method for the choice of the parameters are suggested based on simulation study.

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Argument Estimates Of Certain Meromorphic Functions

  • Cho, Nak-Eun
    • 대한수학회논문집
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    • 제15권2호
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    • pp.263-274
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    • 2000
  • The object of the present paper is to obtain some argu-ment properties of certain mermorphic functions in the punctured open unit disk. Furthermore, we investigate their integral preserving properties in a sector.

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COEFFICIENT ESTIMATES FOR CERTAIN SUBCLASS FOR SPIRALLIKE FUNCTIONS DEFINED BY MEANS OF GENERALIZED ATTIYA-SRIVASTAVA OPERATOR

  • Yavuz, Tugba
    • 대한수학회논문집
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    • 제31권4호
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    • pp.703-712
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    • 2016
  • In this article, we derive a sharp estimates for the Taylor-Maclaurin coefficients of functions in some certain subclasses of spirallike functions which are defined by generalized Srivastava-Attiya operator. Several corollaries and consequences of the main result are also considered.