PROFILE ANALYSIS WITH RANDOM-EFFECTS COVARIANCE STRUCTURE
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概要
- 論文の詳細を見る
- 2012-12-01
著者
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Srivastava Muni
Department Of Statistics University Of Toronto
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Singull Martin
The Department of Mathematics, Linköping University
関連論文
- Variable Selection in Multivariate Linear Regression Models with Fewer Observations than the Dimension
- CLASSIFICATION WITH A PREASSIGNED ERROR RATE WHEN TWO COVARIANCE MATRICES ARE EQUAL (Statistical Region Estimation and Its Application)
- PROFILE ANALYSIS FOR A GROWTH CURVE MODEL
- AN EMPIRICAL BAYES INFORMATION CRITERION FOR SELECTING VARIABLES IN LINEAR MIXED MODELS
- AKAIKE INFORMATION CRITERION FOR SELECTING COMPONENTS OF THE MEAN VECTOR IN HIGH DIMENSIONAL DATA WITH FEWER OBSERVATIONS
- COMPARISON OF DISCRIMINATION METHODS FOR HIGH DIMENSIONAL DATA
- PREDICTION IN MULTIVARIATE MIXED LINEAR MODELS
- SOME TESTS CONCERNING THE COVARIANCE MATRIX IN HIGH DIMENSIONAL DATA
- Estimation of EPMC for High-dimensional Data(Session 3b)
- PROFILE ANALYSIS WITH RANDOM-EFFECTS COVARIANCE STRUCTURE