Issue Information.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2017, v. 66, n. 5, p. 891, doi. 10.1111/rssc.12183
- Publication type:
- Article
Works matching IS 00359254 AND DT 2017 AND VI 66 AND IP 5
Results: 14
1
2
Mechanism for missing data incorporated in joint modelling of ordinal responses.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2017, v. 66, n. 5, p. 1049, doi. 10.1111/rssc.12201
- By:
- Publication type:
- Article
3
Detecting bias arising from delayed recording of time.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2017, v. 66, n. 5, p. 1065, doi. 10.1111/rssc.12202
- By:
- Publication type:
- Article
4
A calibrated power prior approach to borrow information from historical data with application to biosimilar clinical trials.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2017, v. 66, n. 5, p. 979, doi. 10.1111/rssc.12204
- By:
- Publication type:
- Article
5
Modelling trends in digit preference patterns.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2017, v. 66, n. 5, p. 893, doi. 10.1111/rssc.12205
- By:
- Publication type:
- Article
6
Improved detection of changes in species richness in high diversity microbial communities.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2017, v. 66, n. 5, p. 963, doi. 10.1111/rssc.12206
- By:
- Publication type:
- Article
7
A non-stationary spatial model for temperature interpolation applied to the state of Rio de Janeiro.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2017, v. 66, n. 5, p. 919, doi. 10.1111/rssc.12207
- By:
- Publication type:
- Article
8
The use of heuristic optimization algorithms to facilitate maximum simulated likelihood estimation of random parameter logit models.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2017, v. 66, n. 5, p. 997, doi. 10.1111/rssc.12209
- By:
- Publication type:
- Article
9
Index of authors, volume 66, 2017.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2017, v. 66, n. 5, p. 1091, doi. 10.1111/rssc.12243
- Publication type:
- Article
10
Contents of volume 66, 2017.
- Published in:
- 2017
- Publication type:
- Other
11
Phase I designs that allow for uncertainty in the attribution of adverse events.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2017, v. 66, n. 5, p. 1015, doi. 10.1111/rssc.12195
- By:
- Publication type:
- Article
12
Ecological grouping of survey sites when sampling artefacts are present.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2017, v. 66, n. 5, p. 1031, doi. 10.1111/rssc.12211
- By:
- Publication type:
- Article
13
A spatiotemporal model for extreme precipitation simulated by a climate model, with an application to assessing changes in return levels over North America.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2017, v. 66, n. 5, p. 941, doi. 10.1111/rssc.12212
- By:
- Publication type:
- Article
14
Joint regression analysis of marginal quantile and quantile association: application to longitudinal body mass index in adolescents.
- Published in:
- Journal of the Royal Statistical Society: Series C (Applied Statistics), 2017, v. 66, n. 5, p. 1075, doi. 10.1111/rssc.12214
- By:
- Publication type:
- Article