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혼합효과모형의 리뷰
이영조 ( Young Jo Lee )
2015년
활용도 Analysis
논문 Analysis
연구자 Analysis
활용도 Analysis
논문 Analysis
연구자 Analysis
활용도
공유도
영향력
논문상세정보
저자
이영조 ( Young Jo Lee )
주제어
hierarchicalgeneralizedLinearmodels
hierarchicalLikelihood
ixedeffectmodels
random effects
다단계 가능도
다단계 일반화 선형 모형
변량 효과
혼합 효과 모형
참고문헌( 31)
유사주제 논문( 59)
random effects 33건
변량 효과 11건
다단계 가능도 4건
다단계 일반화 선형 모형 4건
혼합 효과 모형 4건
hierarchicalgeneralizedlinearmodels 2건
hierarchicallikelihood 1건
인용/피인용
혼합효과모형의 리뷰
' 혼합효과모형의 리뷰' 의 주제별 논문영향력
논문영향력 요약
주제
hierarchicalgeneralizedlinearmodels
hierarchicallikelihood
ixedeffectmodels
random effects
다단계 가능도
다단계 일반화 선형 모형
변량 효과
혼합 효과 모형
동일주제 총논문수
논문피인용 총횟수
주제별 논문영향력의 평균
67
0
0.0%
자세히
주제별 논문영향력
논문영향력
주제
주제별 논문수
주제별 피인용횟수
주제별 논문영향력
주제어
hierarchicalgeneralizedlinear ...
3
0
0.0%
hierarchicallikelihood
2
0
0.0%
ixedeffectmodels
1
0
0.0%
random effects
34
0
0.0%
다단계 가능도
5
0
0.0%
다단계 일반화 선형 모형
5
0
0.0%
변량 효과
12
0
0.0%
혼합 효과 모형
5
0
0.0%
계
67
0
0.0%
* 다른 주제어 보유 논문에서 피인용된 횟수
0
닫기
' 혼합효과모형의 리뷰'
의 참고문헌
베이지안 통계의 역사와 미래에 대한 조망
이재용
응용통계연구 27 (6) : 855 ~ 863
[2014]
hilosophical Transactions (1683-1775)
Bayes, T.
AMFRS : 370 ~ 418
[1763]
frailtyHL: A package for fitting frailty models with h-likelihood
Ha, I. D.
R Journal 4 : 28 ~ 37
[2012]
Variable selection in general frailty models using penalized h-likelihood
Ha, I. D.
Journal of Computational and Graphical Statistics 23 : 1044 ~ 1060
[2014]
The fundamental problems of practical statistics
Pearson, K.
Biometrika 13 : 1 ~ 16
[1920]
The developmental toxicity of Ethylene Glycol in rates and mice
Price, C. J.
Toxicological Applications in Pharmacololgy 81 : 113 ~ 127
[1985]
The Likelihood Principle
Berger, J. O.
Institute of Mathematical Statistics Monograph Series
[1984]
Super-sparse principal component analyses for high throughput genomic data
Lee, D.
BMC Bioinformatics 11 : 296 ~
[2010]
Sufficiency, prediction and extreme models
Lauritzen, S. L.
Scandinavian Journal of Statistics 1 : 128 ~ 134
[1974]
Statistical Decision Theory and Related Topics IV, 1
Bayarri, M. J.
Springer
[1988]
Sparse partial least-squares regression and its applications to high-throughput data analysis
Lee, D.
Chemometrics and Intelligent Laboratory Systems 109 : 1 ~ 8
[2011]
Predictive likelihood inference with applications (with discussion)
Butler, R. W.
Journal of the RoyalStatistical Society, Series B 48 : 1 ~ 38
[1986]
On the probable error of a coefficient of correlation deduced from a small sample
Fisher, R. A.
Metron 1 : 3 ~ 32
[1921]
On the generalization of the likelihood function and likelihood principle
Bjørnstad, J. F.
Journal of the American Statistical Association 91 : 791 ~ 806
[1996]
On the foundations of statistical inference
Birnbaum, A.
Journal of the American Statistical Association 57 : 269 ~ 326
[1962]
On the Algebraic and Numerical Theory of Errors of Observations and the Combination of Observations
Airy, G. B.
Macmillan and Co., Ltd
[1861]
Modelling random effect variance with double hierarchical generalized linear models
Lee, Y
Statistical Modelling 12 : 487 ~ 502
[2012]
Joint hierarchical generalized linear models with multivariate Gaussian random effects
Molas, M.
Computational Statistics and Data Analysis 68 : 239 ~ 250
[2013]
In All Likelihood: Statistical Modelling and Inference using Likelihood
Pawitan, Y.
Clarendon Press
[2001]
Hierarchical likelihood approach for frailty models
Ha, I. D.
Biometrika 88 : 233 ~ 243
[2001]
Hierarchical generalized linear models (with discussion)
Lee, Y
Journal of the Royal Statistical Society B 58 : 619 ~ 678
[1996]
Hierarchical generalised linear models : A synthesis of generalised linear models, random-effect models and structured dispersions
Lee, Y
Biometrika 88 : 987 ~ 1006
[2001]
Generalized linear models
Nelder, J. A
Journal of the Royal Statistical Society A 135 : 370 ~ 384
[1972]
Generalised Linear Models with Random Effects: Unified Analysis via h-Likelihood
Lee, Y
Chapman and Hall
[2006]
Extended likelihood approach to large scale multiple testing
Lee, Y
Journal of the Royal Statistical Society B 75 : 553 ~ 575
[2013]
Double Hierarchical Generalized Linear Models(with discussion)
Lee, Y
Journal of the Royal Statistical Society C 55 : 139 ~ 185
[2006]
Controlling the false discovery rate : A practical and powerful approach to multiple testing
Benjamini, Y
Journal of the Royal Statistical Society B 57 : 289 ~ 300
[1995]
Autoregressive Conditional Heteroskedasticity with Estimates of the Variance of U.K. Inflation
Engle, R. F.
Econometrica 50 : 987 ~ 1008
[1982]
Approximate inference in generalized linear mixed models
Breslow, N. E
Journal of the American Statistical Association 88 : 9 ~ 25
[1993]
A random-effect model approach for group variable selection
Lee, S.
Computational Statistics and Data Analysis 89 : 147 ~ 157
[2015]
A new sparse variable selection via random-effect model
Lee, Y
Journal of Multivariate Analysis 125 : 89 ~ 99
[2014]
' 혼합효과모형의 리뷰'
의 유사주제(
) 논문