Robust regression for highly corrupted response by shifting outliers.
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- Statistical Modelling: An International Journal, 2016, v. 16, n. 1, p. 1, doi. 10.1177/1471082X15624040
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- Article
Works matching IS 1471082X AND DT 2016 AND VI 16 AND IP 1
Results: 5
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2
Functional linear mixed models for irregularly or sparsely sampled data.
- Published in:
- Statistical Modelling: An International Journal, 2016, v. 16, n. 1, p. 67, doi. 10.1177/1471082X15617594
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- Publication type:
- Article
3
Editorial.
- Published in:
- Statistical Modelling: An International Journal, 2016, v. 16, n. 1, p. vii, doi. 10.1177/1471082X15610846
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- Publication type:
- Article
4
Sparse Bayesian modelling of underreported count data.
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- Statistical Modelling: An International Journal, 2016, v. 16, n. 1, p. 24, doi. 10.1177/1471082X15588398
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- Publication type:
- Article
5
Statistical modelling of gained university credits to evaluate the role of pre-enrolment assessment tests: An approach based on quantile regression for counts.
- Published in:
- Statistical Modelling: An International Journal, 2016, v. 16, n. 1, p. 47, doi. 10.1177/1471082X15596087
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- Publication type:
- Article