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Bibliography.bib
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Bibliography.bib
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% This file was created with JabRef 2.10b2.
% Encoding: Cp1252
@Manual{War15,
Title = {saeSim: Simulation Tools for Small Area Estimation},
Author = {S. Warn\-holz and T. Sch\-mid},
Note = {R package version 0.8.0},
Year = {2016},
Url = {http://CRAN.R-project.org/package=saeSim}
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@Article{Mar13,
Title = {Small area estimation with spatio-temporal Fay-Herriot models},
Author = {Y. Mar\-hu\-en\-da and I. Molina and D. Morales},
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Year = {2013},
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Volume = {58}
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@MastersThesis{Aue15,
Title = {Numerische Verfahren zur L{\"o}sung von Small-Area-Problemen},
Author = {Auerbach, K.},
School = {Department of Economics, Freie Universit{\"a}t Berlin, Berlin, Germany},
Year = {2015}
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Title = {magrittr: A Forward-Pipe Operator for R},
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Title = {Matrix: Sparse and Dense Matrix Classes and Methods},
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Title = {Sample Surveys: Design, Methods and Applications},
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Publisher = {Elsevier},
Year = {2009},
Series = {Handbook of Statistics},
Volume = {29 A}
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@InProceedings{Bel06,
Title = {Using the t-distribution to Deal with Outliers in Small Area Estimation},
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Year = {2006}
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@Article{Ben16,
Title = {Multivariate Fay-Herriot models for small area estimation},
Author = {Benavent, R. and Morales, D.},
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Volume = {94}
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@Manual{Bis15,
Title = {parallelMap: Unified Interface to Parallelization Back-Ends},
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Note = {R package version 1.3},
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@Article{Bis15a,
Title = {{BatchJobs} and {BatchExperiments}: Abstraction Mechanisms for Using {R} in Batch Environments},
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@Article{Cha15,
Title = {{A two-component normal mixture alternative to the Fay-Herriot model}},
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Year = {2015},
Month = oct,
Adsnote = {Provided by the SAO/NASA Astrophysics Data System},
Adsurl = {http://adsabs.harvard.edu/abs/2015arXiv151004482C},
Archiveprefix = {arXiv},
Eprint = {1510.04482},
Keywords = {Statistics - Methodology},
Primaryclass = {stat.ME}
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Volume = {22}
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@Article{Cha14,
Title = {Outlier Robust Small Area Estimation},
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Title = {M-Quantile Models for Small Area Estimation},
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@Article{Chan15,
Title = {A Spatially Nonstationary Fay-Herriot Model for Small Area Estimation},
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Pages = {109--135},
Volume = {3}
}
@Article{Cha12,
Title = {Small Area Estimation under Spatial Nonstationarity},
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Year = {2012},
Number = {10},
Pages = {2875-2888},
Volume = {56}
}
@MastersThesis{Chat12,
Title = {Robust Estimation of Variance Components in Small Area Estimation},
Author = {Chatrchi, G.},
School = {School of Mathematics and Statistics, Carleton University, Ottawa, Canada},
Year = {2012},
Owner = {sebastian},
Timestamp = {2016.02.03}
}
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Volume = {37}
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}
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Title = {Small area estimation using models that combine time series and cross-sectional data},
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Title = {A unified measure of uncertainty of estimated best linear unbiased predictors in small area estimation problems},
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Title = {Limiting the Risk of Bayes and Empirical Bayes Estimators - Part I: The Bayes Case},
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Journal = {Journal of the American Statistical Association},
Year = {1971},
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Pages = {807--815},
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Owner = {sebastian},
Publisher = {Taylor \& Francis Group},
Timestamp = {2016.01.02}
}
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Title = {Regions in the European Union: Nomenclature of territorial units for statistics (NUTS 2013/EU-28)},
Author = {Eurostat},
Institution = {European Union},
Year = {2015},
Type = {Manuals and guidelines},
Doi = {doi:10.2785/53780}
}
@Article{Fab10,
Title = {Robust linear mixed models for Small Area Estimation},
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Journal = {Journal of Statistical Planning and Inference},
Year = {2010},
Number = {2},
Pages = {433--443},
Volume = {140}
}
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Title = {Estimation of Income for Small Places: An Application of James-Stein Procedures to Census Data},
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Year = {1979},
Pages = {269--277},
Volume = {74 (366)}
}
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Title = {Robust Estimation of Variance Components},
Author = {W. H. Fellner},
Journal = {Technometrics},
Year = {1986},
Pages = {51--60},
Volume = {28 (1)},
Comment = {Gedruckt},
File = {:I\:\\FUSTAT\\Forschung\\Literatur\\Artikel\\RobusteSAE\\Fellner - Robust Estimation of Variance Components.pdf:PDF},
Owner = {schmidtimo},
Timestamp = {2009.12.08}
}
@Article{Ger10,
Title = {Robust Small Area Estimation Using a Mixture Model},
Author = {Gershunskaya, J.},
Journal = {Proceedings of the Section on Survey Research Methods, American Statistical Association},
Year = {2010},
Pages = {2783--2796}
}
@Article{Gho08,
Title = {Influence functions and robust Bayes and empirical Bayes small area estimation},
Author = {Ghosh, M. and Maiti, T. and Roy, A.},
Journal = {Biometrika},
Year = {2008},
Number = {3},
Pages = {573--585},
Volume = {95}
}
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Title = {Small Area Estimation: An Appraisal},
Author = {M. Ghosh and J. N. K. Rao},
Journal = {Statistical Science},
Year = {1994},
Pages = {55--93},
Volume = {9 (1)}
}
@TechReport{Gua15,
Title = {A Comparison of Small Area Estimation Methods for Poverty Mapping},
Author = {M. Guadarrama and I. Molina and J. N. K. Rao},
Institution = {Universidad Carlos III de Madrid, Departamento de Estadistica},
Year = {2015},
Month = {April},
Number = {15--05},
Type = {UC3M Working Papers: Statistics and Econometrics},
Owner = {sebastian},
Timestamp = {2016.01.07}
}
@Article{Hal06,
Title = {On Parametric Bootstrap Methods for Small Area Prediction},
Author = {P. Hall and T. Maiti},
Journal = {Journal of the Royal Statistical Society: Series B},
Year = {2006},
Pages = {221--238},
Volume = {68 (2)}
}
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Title = {On the Theory of Sampling from Finite Populations},
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Year = {1943},
Number = {4},
Pages = {333--362},
Volume = {14}
}
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Title = {Best Linear Unbiased Estimation and Prediction under a Selection Model},
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Year = {1975},
Pages = {423--447},
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