IDEAS home Printed from https://ideas.repec.org/a/bla/istatr/v77y2009i1p118-146.html
   My bibliography  Save this article

Karl Pearson in Russian Contexts

Author

Listed:
  • Eugene Seneta

Abstract

The confluence of statistics and probability into mathematical statistics in the Russian Empire through the interaction, 1910–1917, of A.A. Chuprov and A.A. Markov was influenced by the writings of the English Biometric School, especially those of Karl Pearson. The appearance of the Russian‐language exposition of Pearsonian ideas by E. E. Slutsky in 1912 was instrumental in this confluence. Slutsky's predecessors in such writings (Lakhtin, Orzhentskii, and Leontovich) were variously of mathematical, political economy, and biological backgrounds. Work emanating from the interpolational nature of Pearson's system of frequency curves was continued subsequently through the work of Markov, Bernstein, Romanovsky, and Kravchuk (Krawtchouk), who laid a solid probabilistic foundation. The correlational nature in the interpolational early work of Chebyshev, and work of the English Biometric School in the guise of linear least‐squares fitting exposited as the main component of Slutsky's book, was developed in population as well as sample context by Chuprov. He also championed the expectation operation in providing exact relations between sample and population moments, in direct interaction with Karl Pearson. Romanovsky emerges as the most adaptive and modern mathematical statistician.

Suggested Citation

  • Eugene Seneta, 2009. "Karl Pearson in Russian Contexts," International Statistical Review, International Statistical Institute, vol. 77(1), pages 118-146, April.
  • Handle: RePEc:bla:istatr:v:77:y:2009:i:1:p:118-146
    DOI: 10.1111/j.1751-5823.2009.00071.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1751-5823.2009.00071.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1751-5823.2009.00071.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Herbert A. David, 2009. "Karl Pearson—The Scientific Life in a Statistical Age by Theodore M. Porter: A Review," International Statistical Review, International Statistical Institute, vol. 77(1), pages 30-39, April.
    2. Anna M. Fiori & Michele Zenga, 2009. "Karl Pearson and the Origin of Kurtosis," International Statistical Review, International Statistical Institute, vol. 77(1), pages 40-50, April.
    3. M. Eileen Magnello, 2009. "Karl Pearson and the Establishment of Mathematical Statistics," International Statistical Review, International Statistical Institute, vol. 77(1), pages 3-29, April.
    4. David R. Bellhouse, 2009. "Karl Pearson's Influence in the United States," International Statistical Review, International Statistical Institute, vol. 77(1), pages 51-63, April.
    5. Eugene Seneta, 2003. "Statistical Regularity and Free Will: L.A.J. Quetelet and P.A. Nekrasov," International Statistical Review, International Statistical Institute, vol. 71(2), pages 319-334, August.
    6. Tapan K. Nayak, 2009. "Impact of Karl Pearson's Work on Statistical Developments in India," International Statistical Review, International Statistical Institute, vol. 77(1), pages 72-80, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ida H. Stamhuis & Eugene Seneta, 2009. "Pearson's Statistics in the Netherlands and the Astronomer Kapteyn," International Statistical Review, International Statistical Institute, vol. 77(1), pages 96-117, April.
    2. Claudio Giovanni Borroni, 2009. "Understanding Karl Pearson's Influence on Italian Statistics in the Early 20th Century," International Statistical Review, International Statistical Institute, vol. 77(1), pages 81-95, April.
    3. Peter Guttorp & Georg Lindgren, 2009. "Karl Pearson and the Scandinavian School of Statistics," International Statistical Review, International Statistical Institute, vol. 77(1), pages 64-71, April.
    4. Arthur Pewsey, 2015. "Discussion," International Statistical Review, International Statistical Institute, vol. 83(2), pages 211-217, August.
    5. Tapan K. Nayak, 2009. "Impact of Karl Pearson's Work on Statistical Developments in India," International Statistical Review, International Statistical Institute, vol. 77(1), pages 72-80, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jing Long Yu & Tse Mao Lin & Xin Hui Wu, 2021. "Does Brexit Have a Bullish or Bearish Effect on the Taiwan Stock Market?," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 7(3), pages 90-101, 09-2021.
    2. J. Roderick McCrorie, 2021. "Moments in Pearson's Four-Step Uniform Random Walk Problem and Other Applications of Very Well-Poised Generalized Hypergeometric Series," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(2), pages 244-281, November.
    3. Anna Maria Fiori, 2020. "On firm size distribution: statistical models, mechanisms, and empirical evidence," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(3), pages 447-482, September.
    4. J. Martin van Zyl, 2018. "An Empirical Study of the Behaviour of the Sample Kurtosis in Samples from Symmetric Stable Distributions," Papers 1811.00476, arXiv.org, revised Nov 2018.
    5. Perepolkin, Dmytro & Lindsröm, Erik & Sahlin, Ullrika, 2023. "Quantile-parameterized distributions for expert knowledge elicitation," OSF Preprints tq3an, Center for Open Science.
    6. Nicholas J. Cox, 2010. "Speaking Stata: The limits of sample skewness and kurtosis," Stata Journal, StataCorp LP, vol. 10(3), pages 482-495, September.
    7. Claudio Giovanni Borroni, 2009. "Understanding Karl Pearson's Influence on Italian Statistics in the Early 20th Century," International Statistical Review, International Statistical Institute, vol. 77(1), pages 81-95, April.
    8. Claudio Giovanni Borroni & Lucio De Capitani, 2022. "Some measures of kurtosis and their inference on large datasets," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 106(4), pages 573-607, December.
    9. Yeboah Asuamah, Samuel, 2015. "An econometric modelling of government activities-total energy demand nexus for Ghana," MPRA Paper 83489, University Library of Munich, Germany.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:istatr:v:77:y:2009:i:1:p:118-146. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/isiiinl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.