Simulation Tools for Small Area Estimation: Introducing the R-package saeSim

Austrian Journal of Statistics

article

Sebastian Warnholz¹  Timo Schmid² 

[1] Freie Universität Berlin;Freie Universität Berlin

关键词: Package;    R;    reproducible research;    simulation study;    small area estimation.;   

DOI  :  10.17713/ajs.v45i1.89

学科分类：医学（综合）

来源: Austrian Statistical Society

【 摘 要 】

The demand for reliable regional estimates from sample surveys has been substantially grown over the last decades. Small area estimation provides statistical methods to produce reliable predictions when the sample sizes in regions are too small to apply direct estimators. Model- and design-based simulations are used to gain insights into the quality of the introduced methods. In this article we present a framework which may help to guarantee the reproducibility of simulation studies in articles and during research. The introduced R-package saeSim is adjusted to provide a simulation environment for the special case of small area estimation. The package may allow the prospective researcher during the research process to produce simulation studies with a minimal eort of coding.

【 授权许可】

CC BY