Bayesian nonstationary spatial modeling for very large datasets.
- Published in:
- Environmetrics, 2013, v. 24, n. 3, p. 189, doi. 10.1002/env.2200
- By:
- Publication type:
- Article
Works matching IS 11804009 AND DT 2013 AND VI 24 AND IP 3
Results: 7
1
2
Partial ranked set sampling design.
- Published in:
- Environmetrics, 2013, v. 24, n. 3, p. 201, doi. 10.1002/env.2203
- By:
- Publication type:
- Article
3
Spatio-temporal modeling for disease mapping using CAR and B-spline smoothing.
- Published in:
- Environmetrics, 2013, v. 24, n. 3, p. 180, doi. 10.1002/env.2199
- By:
- Publication type:
- Article
4
Issue Information.
- Published in:
- Environmetrics, 2013, v. 24, n. 3, p. i, doi. 10.1002/env.2161
- Publication type:
- Article
5
A hierarchical functional data analytic approach for analyzing physiologically based pharmacokinetic models.
- Published in:
- Environmetrics, 2013, v. 24, n. 3, p. 172, doi. 10.1002/env.2198
- By:
- Publication type:
- Article
6
Information-theoretic model-averaged benchmark dose analysis in environmental risk assessment.
- Published in:
- Environmetrics, 2013, v. 24, n. 3, p. 143, doi. 10.1002/env.2201
- By:
- Publication type:
- Article
7
Geostatistical analysis of binomial data: generalised linear or transformed Gaussian modelling?
- Published in:
- Environmetrics, 2013, v. 24, n. 3, p. 158, doi. 10.1002/env.2205
- By:
- Publication type:
- Article