Abstract
In the context of statistical controlled calibration we introduce the ‘multilevel calibration estimator’ in order to account for clustered measurements. To tackle this issue more closely, results from a simulation study will be extensively discussed. Finally, an application from a building industry will be presented.
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References
Brown, P. J. (1993). Measurement, regression and calibration. Oxford: Clarendon Press.
Cheng, C. L., & Van Ness, J. W. (1997). Robust calibration. Technometrics39, 401–411.
Goldstein, H. (1995). Multilevel statistical models (2nd ed.). London: Arnold Ed.
Oman, S. D. (1998). Calibration with random slopes.Biometrika, 85, 439–449.
Osborne, C. (1991). Statistical calibration: A review. International Statistical Review, 59(3), 309–336.
Pinheiro, C. J., & Bates, D. M. (2000). Mixed-Effects models in S and S-Plus. Statistics and Computing. New York: Springer-Verlag.
Pinheiro, C. J., Bates, D. M., DebRoy, S., Sarkar, D., & the R Core team. (2008). nlme: Linear and nonlinear mixed effects models. R package version 3.1-90.
Salini, S. (2006). Robust multivariate calibration. In S. Zani, A. Cerioli, M. Riani, & M. Vichi (Eds.), Data analysis, classification and the forward search (pp. 217–224). Berlin: Springer.
Shiao, J., & Tu, D. (1995). The jackknife and bootstrap. New York: Springer.
Snjiders, T., & Bosker, R. (1999). Multilevel analysis – An introduction to basic and advanced multilevel modelling. London: Sage Publications.
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Salini, S., Solaro, N. (2011). Controlled Calibration in Presence of Clustered Measures. In: Ingrassia, S., Rocci, R., Vichi, M. (eds) New Perspectives in Statistical Modeling and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11363-5_20
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DOI: https://doi.org/10.1007/978-3-642-11363-5_20
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Online ISBN: 978-3-642-11363-5
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