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Median as a weighted arithmetic mean of all sample observations

Author

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  • SK Mishra

    (Dept. of Economics, NEHU, Shillong, India)

Abstract

This paper shows how median may be computed as a weighted arithmetic mean of all sample observations, unlike the conventional method that obtains median as the middle value (odd observations) or a simple mean of the two middlemost values (even observations). Monte Carlo experiments have been carried out to investigate the bias, efficiency and consistency of the alternative methods.

Suggested Citation

  • SK Mishra, 2004. "Median as a weighted arithmetic mean of all sample observations," Economics Bulletin, AccessEcon, vol. 3(18), pages 1-6.
    • Handle: RePEc:ebl:ecbull:eb-04c10011
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    File URL: http://www.accessecon.com/pubs/EB/2004/Volume3/EB-04C10011A.pdf
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    Cited by:

    1. Adam Pawlewicz, 2020. "Change of Price Premiums Trend for Organic Food Products: The Example of the Polish Egg Market," Agriculture, MDPI, vol. 10(2), pages 1-22, February.
    2. Santiago Carbó Valverde & Rafael López Del Paso, 2010. "Does The Development Of Non‐Cash Payments Affect Bank Lending?," Manchester School, University of Manchester, vol. 78(5), pages 412-436, September.

    More about this item

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C0 - Mathematical and Quantitative Methods - - General

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