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Valid hypothesis testing in face of spatially dependent data using multi-layer perceptrons and sub-sampling techniques

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  • Walde, Janette F.

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  • Walde, Janette F., 2007. "Valid hypothesis testing in face of spatially dependent data using multi-layer perceptrons and sub-sampling techniques," Computational Statistics & Data Analysis, Elsevier, vol. 51(5), pages 2701-2719, February.
    • Handle: RePEc:eee:csdana:v:51:y:2007:i:5:p:2701-2719
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    References listed on IDEAS

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    1. White,Halbert, 1996. "Estimation, Inference and Specification Analysis," Cambridge Books, Cambridge University Press, number 9780521574464.
    2. Lindsey, J.K. & Lindsey, P.J., 2006. "Multivariate distributions with correlation matrices for nonlinear repeated measurements," Computational Statistics & Data Analysis, Elsevier, vol. 50(3), pages 720-732, February.
    3. Lafratta, Giovanni, 2006. "Efficiency evaluation of MEV spatial sampling strategies: a scenario analysis," Computational Statistics & Data Analysis, Elsevier, vol. 50(3), pages 878-890, February.
    4. Politis, D. N. & Romano, Joseph P. & Wolf, Michael, 1997. "Subsampling for heteroskedastic time series," Journal of Econometrics, Elsevier, vol. 81(2), pages 281-317, December.
    5. Gaudart, Jean & Giusiano, Bernard & Huiart, Laetitia, 2004. "Comparison of the performance of multi-layer perceptron and linear regression for epidemiological data," Computational Statistics & Data Analysis, Elsevier, vol. 44(4), pages 547-570, January.
    6. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    7. Walde, J. F. & Tappeiner, G. & Tappeiner, U. & Tasser, E. & Holub, H. W., 2004. "Statistical aspects of multilayer perceptrons under data limitations," Computational Statistics & Data Analysis, Elsevier, vol. 46(1), pages 173-188, May.
    8. Domowitz, Ian & White, Halbert, 1982. "Misspecified models with dependent observations," Journal of Econometrics, Elsevier, vol. 20(1), pages 35-58, October.
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