• Title/Summary/Keyword: Kernel Estimates

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REGULARIZED SOLUTION TO THE FREDHOLM INTEGRAL EQUATION OF THE FIRST KIND WITH NOISY DATA

  • Wen, Jin;Wei, Ting
    • Journal of applied mathematics & informatics
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    • v.29 no.1_2
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    • pp.23-37
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    • 2011
  • In this paper, we use a modified Tikhonov regularization method to solve the Fredholm integral equation of the first kind. Under the assumption that measured data are contaminated with deterministic errors, we give two error estimates. The convergence rates can be obtained under the suitable choices of regularization parameters and the number of measured points. Some numerical experiments show that the proposed method is effective and stable.

The Family Approach to Nonparametric Estimation of the Regression Function (비모수적 회귀함수 추정에 대한 Family Approach)

  • 정성석
    • Journal of Korean Society for Quality Management
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    • v.25 no.4
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    • pp.106-114
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    • 1997
  • The smoothing parameter or bandwidth is crucial to performance of the kernel based regression estimator. So the choice of a "optimal" smoothing parameter produce a single curve estimate. If a single estimate is replaced by a family of estimates, it become easy that we understand what varies with choice of the smoothing parameter. This paper suggests the threshold of the maximum bandwidth and the number of the family members in the regression context.n context.

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Weak Convergence of U-empirical Processes for Two Sample Case with Applications

  • Park, Hyo-Il;Na, Jong-Hwa
    • Journal of the Korean Statistical Society
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    • v.31 no.1
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    • pp.109-120
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    • 2002
  • In this paper, we show the weak convergence of U-empirical processes for two sample problem. We use the result to show the asymptotic normality for the generalized dodges-Lehmann estimates with the Bahadur representation for quantifies of U-empirical distributions. Also we consider the asymptotic normality for the test statistics in a simple way.

Robustness of Minimum Disparity Estimators in Linear Regression Models

  • Pak, Ro-Jin
    • Journal of the Korean Statistical Society
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    • v.24 no.2
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    • pp.349-360
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    • 1995
  • This paper deals with the robustness properties of the minimum disparity estimation in linear regression models. The estimators defined as statistical quantities whcih minimize the blended weight Hellinger distance between a weighted kernel density estimator of the residuals and a smoothed model density of the residuals. It is shown that if the weights of the density estimator are appropriately chosen, the estimates of the regression parameters are robust.

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ON UNIFORM DECAY OF WAVE EQUATION OF CARRIER MODEL SUBJECT TO MEMORY CONDITION AT THE BOUNDARY

  • Bae, Jeong-Ja;Yoon, Suk-Bong
    • Journal of the Korean Mathematical Society
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    • v.44 no.4
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    • pp.1013-1024
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    • 2007
  • In this paper we consider the uniform decay for the wave equation of Carrier model subject to memory condition at the boundary. We prove that if the kernel of the memory decays exponentially or polynomially, then the solutions for the problems have same decay rates.

ON CERTAIN ESTIMATES FOR ROUGH GENERALIZED PARAMETRIC MARCINKIEWICZ INTEGRALS

  • Daiqing, Zhang
    • Bulletin of the Korean Mathematical Society
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    • v.60 no.1
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    • pp.47-73
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    • 2023
  • This paper is devoted to establishing certain Lp bounds for the generalized parametric Marcinkiewicz integral operators associated to surfaces generated by polynomial compound mappings with rough kernels given by h ∈ ∆γ(ℝ+) and Ω ∈ Wℱβ(Sn-1) for some γ, β ∈ (1, ∞]. As applications, the corresponding results for the generalized parametric Marcinkiewicz integral operators related to the Littlewood-Paley g*λ functions and area integrals are also presented.

MULTIPLE WEIGHTED ESTIMATES FOR MULTILINEAR COMMUTATORS OF MULTILINEAR SINGULAR INTEGRALS WITH GENERALIZED KERNELS

  • Liwen Gao;Yan Lin;Shuhui Yang
    • Journal of the Korean Mathematical Society
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    • v.61 no.2
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    • pp.207-226
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    • 2024
  • In this paper, the weighted Lp boundedness of multilinear commutators and multilinear iterated commutators generated by the multilinear singular integral operators with generalized kernels and BMO functions is established, where the weight is multiple weight. Our results are generalizations of the corresponding results for multilinear singular integral operators with standard kernels and Dini kernels under certain conditions.

Comparison Study of Kernel Density Estimation according to Various Bandwidth Selectors (다양한 대역폭 선택법에 따른 커널밀도추정의 비교 연구)

  • Kang, Young-Jin;Noh, Yoojeong
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.32 no.3
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    • pp.173-181
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    • 2019
  • To estimate probabilistic distribution function from experimental data, kernel density estimation(KDE) is mostly used in cases when data is insufficient. The estimated distribution using KDE depends on bandwidth selectors that smoothen or overfit a kernel estimator to experimental data. In this study, various bandwidth selectors such as the Silverman's rule of thumb, rule using adaptive estimates, and oversmoothing rule, were compared for accuracy and conservativeness. For this, statistical simulations were carried out using assumed true models including unimodal and multimodal distributions, and, accuracies and conservativeness of estimating distribution functions were compared according to various data. In addition, it was verified how the estimated distributions using KDE with different bandwidth selectors affect reliability analysis results through simple reliability examples.

Calculation of Absorbed Dose for Immersion in Semi-Infinite Radioactive Cloud...(1) (반무한(半無限) 방사성운(放射性雲)에서의 흡수선량계산(吸收線量計算) - 1. 단일(單一)에너지 감마 방출체(放出體)에 대한 산난광자(散亂光子)스펙트럼의 계산(計算) -)

  • Lee, Soo-Yong
    • Journal of Radiation Protection and Research
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    • v.10 no.2
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    • pp.155-159
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    • 1985
  • In general, dose rates for a monoenergetic gamma emitter uniformly distributed in an infinite cloud have been calulated by using the monoenergetic point-isotorpic source kernel technique. The most serious limitation on use of the kernel technique is subjected to the fact that it estimates the dose only at the surface of body. As a result, an alternative method is presented in which estimates of dose rate for immersion in a radioactive cloud are resulted from the scattered photon spectra incident on the surface of body. The results are in excellent agreement with other's. Work is currently in progress to apply these results to immersion dose problems associated with absorbed dose distribution in the MIRD phatom.

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Genetic Variabilities in Two Modified Opaque-2 Synthetics of Corn(Zea mays L.) (변갱 오페이크-2 옥수수 합성품종의 유전변이)

  • Yun Gyu, Kang;Keun Yong, Park;Bong Ho, Choe
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.30 no.3
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    • pp.326-333
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    • 1985
  • The genetic information was required to improve several plant characteristics of the two modified opaque-2 synthetics, which were synthesized in 1980 at the Chungnam National University. Genetic analysis to obtain the information was carried out by the method of Hallauer and Wright. The information obtained from the analysis indicates that plant characteristics such as plant height, ear height, kernel weight and yield of the two synthetics can be improved by proper breeding procedures, since these characteristics were showing high estimates of genetic and additive variance. The study also shows that some characteristics such as ear length or kernel row number may be not improved effectively and with ease.

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