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Sae Teaching Using Simulations

Author

Listed:
  • Burgard Jan Pablo

    (Trier University, Trier, Germany)

  • Münnich Ralf

    (Trier University, Trier, Germany)

Abstract

The increasing interest in applying small area estimation methods urges the needs for training in small area estimation. To better understand the behaviour of small area estimators in practice, simulations are a feasible way for evaluating and teaching properties of the estimators of interest. By designing such simulation studies, students gain a deeper understanding of small area estimation methods. Thus, we encourage to use appropriate simulations as an additional interactive tool in teaching small area estimation methods.

Suggested Citation

  • Burgard Jan Pablo & Münnich Ralf, 2015. "Sae Teaching Using Simulations," Statistics in Transition New Series, Polish Statistical Association, vol. 16(4), pages 603-610, December.
    • Handle: RePEc:vrs:stintr:v:16:y:2015:i:4:p:603-610:n:3
    DOI: 10.21307/stattrans-2015-035
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    References listed on IDEAS

    as
    1. Ralf Münnich & Jan Burgard & Martin Vogt, 2013. "Small Area-Statistik: Methoden und Anwendungen," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 6(3), pages 149-191, March.
    2. Wei Shen & Thomas A. Louis, 1998. "Triple‐goal estimates in two‐stage hierarchical models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 60(2), pages 455-471.
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