Works matching IS 00063444 AND DT 2009 AND VI 96 AND IP 2
Results: 19
Saddlepoint approximation for mixture models.
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- Biometrika, 2009, v. 96, n. 2, p. 479, doi. 10.1093/biomet/asp022
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Double block bootstrap confidence intervals for dependent data.
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- Biometrika, 2009, v. 96, n. 2, p. 427, doi. 10.1093/biomet/asp018
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Non-finite Fisher information and homogeneity: an EM approach.
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- Biometrika, 2009, v. 96, n. 2, p. 411, doi. 10.1093/biomet/asp011
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Marginal analysis of panel counts through estimating functions.
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- Biometrika, 2009, v. 96, n. 2, p. 445
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Scale adjustments for classifiers in high-dimensional, low sample size settings.
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- Biometrika, 2009, v. 96, n. 2, p. 469, doi. 10.1093/biomet/asp007
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Dimension reduction in time series and the dynamic factor model.
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- Biometrika, 2009, v. 96, n. 2, p. 494, doi. 10.1093/biomet/asp009
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Optimal testing of multiple hypotheses with common effect direction.
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- Biometrika, 2009, v. 96, n. 2, p. 399, doi. 10.1093/biomet/asp006
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Some results on D-optimal designs for nonlinear models with applications.
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- Biometrika, 2009, v. 96, n. 2, p. 487
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Jackknife estimation of mean squared error of small area predictors in nonlinear mixed models.
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- Biometrika, 2009, v. 96, n. 2, p. 457, doi. 10.1093/biomet/asp003
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Nonparametric Bayes local partition models for random effects.
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- Biometrika, 2009, v. 96, n. 2, p. 249, doi. 10.1093/biomet/asp021
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A group bridge approach for variable selection.
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- Biometrika, 2009, v. 96, n. 2, p. 339, doi. 10.1093/biomet/asp020
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Hierarchically penalized Cox regression with grouped variables.
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- Biometrika, 2009, v. 96, n. 2, p. 307, doi. 10.1093/biomet/asp016
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Mixtures of Polya trees for flexible spatial frailty survival modelling.
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- Biometrika, 2009, v. 96, n. 2, p. 263, doi. 10.1093/biomet/asp014
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Nonparametric additive regression for repeatedly measured data.
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- Biometrika, 2009, v. 96, n. 2, p. 383, doi. 10.1093/biomet/asp015
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Gamma frailty transformation models for multivariate survival times.
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- Biometrika, 2009, v. 96, n. 2, p. 277, doi. 10.1093/biomet/asp008
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Covariate-adjusted generalized linear models.
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- Biometrika, 2009, v. 96, n. 2, p. 357, doi. 10.1093/biomet/asp012
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A generalized Dantzig selector with shrinkage tuning.
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- Biometrika, 2009, v. 96, n. 2, p. 323, doi. 10.1093/biomet/asp013
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Generalized method of moments estimation for linear regression with clustered failure time data.
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- Biometrika, 2009, v. 96, n. 2, p. 293
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Adjusting for covariate effects on classification accuracy using the covariate-adjusted receiver operating characteristic curve.
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- Biometrika, 2009, v. 96, n. 2, p. 371, doi. 10.1093/biomet/asp002
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