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Titlebook: COMPSTAT; Proceedings in Compu Jelke G. Bethlehem,Peter G. M. Heijden Conference proceedings 2000 Springer-Verlag Berlin Heidelberg 2000 Bo

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Conference proceedings 2000omputing. This was encapsulated as follows on the COMPST A T 2000 homepage http://neon. vb.cbs.nlIrsml compstat. Statistical computing provides the link between statistical theory and applied statistics. As at previous COMPSTATs, the scientific programme will range over all aspects of this link, fro
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tics and computing. This was encapsulated as follows on the COMPST A T 2000 homepage http://neon. vb.cbs.nlIrsml compstat. Statistical computing provides the link between statistical theory and applied statistics. As at previous COMPSTATs, the scientific programme will range over all aspects of this link, fro978-3-7908-1326-5978-3-642-57678-2
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Blair Taylor,Sidd Kaza,Melissa Darkveys. Since that time, the essential formulation has expanded to be proposed for use in a remarkably broad range of empirical problems, from many standard social science and biomedical applications involving missing data in surveys and experiments, to nonstandard survey and experimental applications
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Scotland Days: Evolving Nation and Icons,d towards full numerical consistency of its statistical estimates, given a matched data file containing all available register and survey data about the target population. The key element of the estimation procedure is repeated re-calibration of survey data sets, i.e. a new set of raising weights is
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National Environmental Policiescase. The dissymmetry of the variables receives a very interesting application when we apply generalised calibration to the problem of weighting for non-response: one set of variables is connected to factors inducing nonresponse, the second one to variables correlated to the variable of interest. A
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https://doi.org/10.1007/978-981-33-6092-1cludes electric load curve analysis and prediction of customer characteristics. Closely related with data mining techniques are data warehouse management problems: we show that statistical methods can be used to help to manage data consistency and to provide accurate reports even when missing data a
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https://doi.org/10.1007/978-981-33-6092-1int modelling of mean and dispersion and (iv) modelling of spatial and temporal correlations. Statistical inferences for complicated phenomena can be made from such a HGLM, which is capable of being decomposed into diverse component GLMs, allowing the application of standard GLM procedures to those
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