Works matching IS 00063444 AND DT 2006 AND VI 93 AND IP 2
Results: 22
A test statistic for graphical modelling of multivariate time series.
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- Biometrika, 2006, v. 93, n. 2, p. 399, doi. 10.1093/biomet/93.2.399
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Fitting binary regression models with case-augmented samples.
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- Biometrika, 2006, v. 93, n. 2, p. 385, doi. 10.1093/biomet/93.2.385
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Nonparametric estimation with left-truncated semicompeting risks data.
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- Biometrika, 2006, v. 93, n. 2, p. 367, doi. 10.1093/biomet/93.2.367
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Understanding nonparametric estimation for clustered data.
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- Biometrika, 2006, v. 93, n. 2, p. 486, doi. 10.1093/biomet/93.2.486
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Models for recurring events with marginal proportional hazards.
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- Biometrika, 2006, v. 93, n. 2, p. 481, doi. 10.1093/biomet/93.2.481
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Local likelihood density estimation based on smooth truncation.
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- Biometrika, 2006, v. 93, n. 2, p. 472, doi. 10.1093/biomet/93.2.472
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Parametric modelling of thresholds across scales in wavelet regression.
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- Biometrika, 2006, v. 93, n. 2, p. 465, doi. 10.1093/biomet/93.2.465
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An efficient Markov chain Monte Carlo method for distributions with intractable normalising constants.
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- Biometrika, 2006, v. 93, n. 2, p. 451
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Rank-based regression for analysis of repeated measures.
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- Biometrika, 2006, v. 93, n. 2, p. 459, doi. 10.1093/biomet/93.2.459
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Effects of the reference set on frequentist inferences.
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- Biometrika, 2006, v. 93, n. 2, p. 425, doi. 10.1093/biomet/93.2.425
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Estimating a bivariate density when there are extra data on one or both components.
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- Biometrika, 2006, v. 93, n. 2, p. 439, doi. 10.1093/biomet/93.2.439
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Using the periodogram to estimate period in nonparametric regression.
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- Biometrika, 2006, v. 93, n. 2, p. 411, doi. 10.1093/biomet/93.2.411
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Confidence bands for hazard rates under random censorship.
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- Biometrika, 2006, v. 93, n. 2, p. 357, doi. 10.1093/biomet/93.2.357
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Estimating the quality-of-life-adjusted gap time distribution of successive events subject to censoring.
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- Biometrika, 2006, v. 93, n. 2, p. 343, doi. 10.1093/biomet/93.2.343
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On the accelerated failure time model for current status and interval censored data.
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- Biometrika, 2006, v. 93, n. 2, p. 329, doi. 10.1093/biomet/93.2.329
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A k-sample test with interval censored data.
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- Biometrika, 2006, v. 93, n. 2, p. 315, doi. 10.1093/biomet/93.2.315
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Linear life expectancy regression with censored data.
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- Biometrika, 2006, v. 93, n. 2, p. 303, doi. 10.1093/biomet/93.2.303
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Optimal blocking of two-level factorial designs.
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- Biometrika, 2006, v. 93, n. 2, p. 289, doi. 10.1093/biomet/93.2.289
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A construction method for orthogonal Latin hypercube designs.
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- Biometrika, 2006, v. 93, n. 2, p. 279, doi. 10.1093/biomet/93.2.279
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Applying the Horvitz-Thompson criterion in complex designs: A computer-intensive perspective for estimating inclusion probabilities.
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- Biometrika, 2006, v. 93, n. 2, p. 269, doi. 10.1093/biomet/93.2.269
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M-quantile models for small area estimation.
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- Biometrika, 2006, v. 93, n. 2, p. 255, doi. 10.1093/biomet/93.2.255
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Bayesian alignment using hierarchical models, with applications in protein bioinformatics.
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- Biometrika, 2006, v. 93, n. 2, p. 235, doi. 10.1093/biomet/93.2.235
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