Works matching IS 00359254 AND DT 2020 AND VI 69 AND IP 3
Results: 12
Generalized partially linear models on Riemannian manifolds.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2020, v. 69, n. 3, p. 641, doi. 10.1111/rssc.12411
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The harmonic mean χ<sup>2</sup>‐test to substantiate scientific findings.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2020, v. 69, n. 3, p. 697, doi. 10.1111/rssc.12410
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An optimal design for hierarchical generalized group testing.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2020, v. 69, n. 3, p. 607, doi. 10.1111/rssc.12409
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Variable selection in functional linear concurrent regression.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2020, v. 69, n. 3, p. 565, doi. 10.1111/rssc.12408
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- Article
A spatially varying distributed lag model with application to an air pollution and term low birth weight study.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2020, v. 69, n. 3, p. 681, doi. 10.1111/rssc.12407
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A Bayesian group sequential small n sequential multiple‐assignment randomized trial.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2020, v. 69, n. 3, p. 663, doi. 10.1111/rssc.12406
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- Article
A novel regularized approach for functional data clustering: an application to milking kinetics in dairy goats.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2020, v. 69, n. 3, p. 623, doi. 10.1111/rssc.12404
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Robust and adaptive anticoagulant control.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2020, v. 69, n. 3, p. 503, doi. 10.1111/rssc.12403
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A joint confidence region for an overall ranking of populations.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2020, v. 69, n. 3, p. 589, doi. 10.1111/rssc.12402
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Multiple imputation of binary multilevel missing not at random data.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2020, v. 69, n. 3, p. 547, doi. 10.1111/rssc.12401
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Structured penalized regression for drug sensitivity prediction.
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- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2020, v. 69, n. 3, p. 525, doi. 10.1111/rssc.12400
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- Article
Issue Information.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2020, v. 69, n. 3, p. 501, doi. 10.1111/rssc.12360
- Publication type:
- Article