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Covariance decomposition
1
Covariance estimation
1
Ecological covariance
1
Ecological fallacy
1
Generalized Covariance Criterion
1
Kriging method
1
Linear discriminant analysis
1
MCD
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Minimum covariance discriminant
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Model selection
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Multivariate covariance decomposition
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Ordinal Variables
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Partial Least Squares
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Partial covariance
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Two-level nested model
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Variable selection
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Wilks’ lambda
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Croatian
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Alvarez, Lilian Muñiz
1
Amenta, P.
1
Camejo, Dunia
1
Guseo, Renato
1
L. D’Ambra
1
Lirio, Rolando Biscay
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Lombardo, R.
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Loubes, Jean-Michel
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Todorov, Valentin
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Statistical Methods and Applications
IMF Working Papers
71
Psychometrika
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Journal of Multivariate Analysis
48
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Statistics & Probability Letters
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Physica A: Statistical Mechanics and its Applications
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TEST: An Official Journal of the Spanish Society of Statistics and Operations Research
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IMF Staff Country Reports
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Statistical Inference for Stochastic Processes
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1
Partial and ecological correlation: a common three-term
covariance
decomposition
Guseo, Renato
- In:
Statistical Methods and Applications
19
(
2010
)
1
,
pp. 31-46
Persistent link: https://www.econbiz.de/10008591003
Saved in:
2
Estimation of
covariance
functions by a fully data-driven model selection procedure and its application to Kriging spatial interpolation of real rainfall data
Lirio, Rolando Biscay
;
Camejo, Dunia
;
Loubes, Jean-Michel
; …
- In:
Statistical Methods and Applications
23
(
2014
)
2
,
pp. 149-174
In this paper, we propose a data-driven model selection approach for the nonparametric estimation of
covariance
…
Persistent link: https://www.econbiz.de/10010998666
Saved in:
3
Robust selection of variables in linear discriminant analysis
Todorov, Valentin
- In:
Statistical Methods and Applications
15
(
2007
)
3
,
pp. 395-407
Persistent link: https://www.econbiz.de/10005596337
Saved in:
4
Multivariate co-inertia analysis for qualitative data by partial least squares
L. D’Ambra
;
Lombardo, R.
;
Amenta, P.
- In:
Statistical Methods and Applications
9
(
2000
)
1
,
pp. 23-37
Persistent link: https://www.econbiz.de/10008497268
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