Sensitivity of the SIMulation-EXtrapolation (SIMEX) methodology to mis-specification of the statistical properties of the measurement errors-Reference-Cited by-同舟云学术

Sensitivity of the SIMulation-EXtrapolation (SIMEX) methodology to mis-specification of the statistical properties of the measurement errors

Published:2023-05-08 Issue:1-2 Volume:153 Page:311-321
ISSN:0177-798X
Container-title:Theoretical and Applied Climatology
language:en
Short-container-title:Theor Appl Climatol

Author:

Villarini Gabriele,Treppiedi Dario,Noto Leonardo V.

Funder

USACE Institute for Water Resources

Consorzio Interuniversitario per l’Idrologia

Autorità di bacino del Distretto idrografico della Sicilia

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Link

https://link.springer.com/content/pdf/10.1007/s00704-023-04458-5.pdf

Reference24 articles.

1. Alexeeff SE, Carroll RJ, Coull B (2016) Spatial measurement error and correction by spatial SIMEX in linear regression models when using predicted air pollution exposures. Biostatistics 17(2):377–389

2. Brown BW, Mariano RS (1993) Stochastic simulations for inference in nonlinear errors-in-variables models, Handbook of Statistics. New York, North Holland 11:611–627

3. Carroll RJ, Ruppert D, Stefanski LA and Crainiceanu CM (2007) Measurement error in nonlinear models - a modern perspective, CRC Press. https://www.taylorfrancis.com/books/mono/10.1201/9781420010138/measurement-error-nonlinear-models-cipriancrainiceanu-raymond-carroll-leonard-stefanski-david-ruppert

4. Chowdhury S and Sharma AA (2008) simulation based approach for representation of rainfall uncertainty in conceptual rainfall runoff models, Hydrological Research Letters, 25–8. https://www.jstage.jst.go.jp/article/hrl/2/0/2_0_5/_pdf

5. Chowdhury S, Sharma A (2007) Mitigating parameter bias in hydrological modelling due to uncertainty in covariates. J Hydrol 340(3–4):197–204