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논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
Asymptotic Approximation of Kernel-Type Estimators with Its Application
한국전산응용수학회 학술발표회
2003 .01
Asymptotic properties for an M-estimator of the regression function with truncation and dependent data
JKSS(Journal of the Korean Statistical Society)
2012 .01
Kernel Estimation of Hazard Ratio Based on Censored Data
한국데이터정보과학회지
2001 .12
NONLINEAR ASYMMETRIC LEAST SQUARES ESTIMATORS
JKSS(Journal of the Korean Statistical Society)
2003 .01
Behavior of local polynomial regression estimators at boundary point
Journal of The Korean Data Analysis Society
2005 .01
Small Sample Study of Kernel Hazard Ratio Estimator
한국데이터정보과학회지
1994 .12
Asymptotic normality of wavelet estimator of regression function under NA assumptions
대한수학회보
2007 .01
Multi-Block L-Estimation in Symmetric Location Model
Journal of The Korean Data Analysis Society
2014 .01
Estimating the Population Size from a Truncated Sample
JKSS(Journal of the Korean Statistical Society)
2000 .01
Nonlinear Regression Quantile Estimators
JKSS(Journal of the Korean Statistical Society)
2001 .01
Asymptotic Properties of Nonlinear Least Absolute Deviation Estimators
JKSS(Journal of the Korean Statistical Society)
1995 .01
A note on nonparametric density deconvolution by weighted kernel estimators
한국데이터정보과학회지
2014 .08
Asymptotics Properties of LAD Estimators in Censored Nonlinear Regression Model
JKSS(Journal of the Korean Statistical Society)
1998 .01
A Study on Kernel Type Discontinuity Point Estimations
한국데이터정보과학회지
2003 .12
Asymptotic Properties of LAD Esimators of a Nonlinear Time Series Regression Model
JKSS(Journal of the Korean Statistical Society)
2000 .01
On Efficient Estimation of the Extreme Value Index with Good Finite-Sample Performance
JKSS(Journal of the Korean Statistical Society)
1999 .01
Test of the Hypothesis based on Nonlinear Regression Quantiles Estimators
한국데이터정보과학회지
2003 .06
A Combined Robust Estimator Between the Least Squares Estimator and a t-type Regression Estimator
Journal of The Korean Data Analysis Society
2011 .01
The comparative studies on stress-strength reliability for Rayleigh distribution
한국데이터정보과학회지
2018 .07
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