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Speaking Stata: Trimming to taste

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  • Nicholas J. Cox

    (Durham University, UK)

Abstract

Trimmed means are means calculated after setting aside zero or more values in each tail of a sample distribution. Here we focus on trimming equal numbers in each tail. Such trimmed means define a family or function with mean and median as extreme members and are attractive as simple and easily understood summaries of the general level (location, central tendency) of a variable. This article provides a tutorial review of trimmed means, emphasizing the scope for trimming to varying degrees in describing and exploring data. Detailed remarks are included on the idea's history, plotting of results, and confidence interval procedures. Examples are given using astronomical and medical data. The new Stata commands trimmean and trimplot are also included. Copyright 2013 by StataCorp LP.

Suggested Citation

  • Nicholas J. Cox, 2013. "Speaking Stata: Trimming to taste," Stata Journal, StataCorp LP, vol. 13(3), pages 640-666, September.
    • Handle: RePEc:tsj:stataj:v:13:y:2013:i:3:p:640-666
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    Cited by:

    1. Balestra, Simone & Backes-Gellner, Uschi, 2017. "Heterogeneous returns to education over the wage distribution: Who profits the most?," Labour Economics, Elsevier, vol. 44(C), pages 89-105.
    2. Abrar ul haq, Muhammad, 2018. "A Role of Corporate Governance and Firm’s Environmental Performance: A Moderating Role of Institutional Regulations," MPRA Paper 100047, University Library of Munich, Germany, revised 2018.
    3. Andrew Gelman & Christian Hennig, 2017. "Beyond subjective and objective in statistics," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(4), pages 967-1033, October.

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