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\iteman{ZMATH 2011c.00789}
\itemau{Wood, Michael}
\itemti{The role of simulation approaches in statistics.}
\itemso{J. Stat. Educ. 13, No. 3 (2005).}
\itemab
Summary: This article explores the uses of a simulation model (the two bucket story)--implemented by a stand-alone computer program, or an Excel workbook (both on the web)--that can be used for deriving bootstrap confidence intervals, and simulating various probability distributions. The strengths of the model are its generality, the fact that it provides a powerful approach that can be fully understood with very little technical background, and the fact that it encourages an active approach to statistics--the user can see the method being acted out either physically, or in imagination, or by a computer. The article argues that this model and other similar models provide an alternative to conventional approaches to deriving probabilities and making statistical inferences. These simulation approaches have a number of advantages compared with conventional approaches: their generality and robustness; the amount of technical background knowledge is much reduced; and, because the methods are essentially sequences of physical actions, it is likely to be easier to understand their interpretation and limitations. (ERIC)
\itemrv{~}
\itemcc{K75}
\itemut{intervals; computer software; robustness; probability; inferences; simulation; models; statistical analysis; evaluation methods; teaching methods; bootstrapped confidence intervals; probability distributions; resampling}
\itemli{}
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