연구동향 분석

Robust Estimation in Generalized Linear Model Using Density Power Divergence

이상진 홍창곤 2019년

논문상세정보
인용/피인용
' Robust Estimation in Generalized Linear Model Using Density Power Divergence' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • densitypowerdivergence
  • generalized linear model
  • robustness.
  • tuning parameter
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
37 0

0.0%

' Robust Estimation in Generalized Linear Model Using Density Power Divergence' 의 참고문헌

  • The automatic robustness of minimum distance functionals
  • The Asymptotic Properties of Mean-centered Binned Kernel Density Estimator
    홍창곤 [2009]
  • The Asymptotic Properties of Automatically Selected Tuning Parameter in the Minimum Density Power Divergence Estimator
    김재선 [2016]
  • Robust and efficient estimation by minimizing a density power divergence
    Basu, A. [1998]
  • Robust Statistics : The Approach Based on Influence Functions
  • Parametric statistical modeling by minimum integrated square error
  • On Information and Sufficiency
  • Minimum Hellinger distance estimates for parametric models
    Beran, R. [1977]
  • Minimum and robust Kullback-Leibler estimation
  • Exact Inference for Competing Risks Model with Generalized Progressive Hybrid Censored Exponential Data
    조영석 [2017]
  • Covariance Estimates of GLMs under Model Misspecification
    윤희원 [2018]
  • Automatic selection of the tuning parameter in the minimum density power divergence estimation
    Hong, C. [2001]
  • Accuracy of Mean-centered Binned Kernel Density Estimator as an Approximation to the Ordinary Kernel Estimator
    윤미숙 [2011]