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Understanding Karl Pearson's Influence on Italian Statistics in the Early 20th Century

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  • Claudio Giovanni Borroni

Abstract

Karl Pearson's work strongly influenced the development of Italian statistics in the early 20th century. This paper reports some Italian contributions following Pearson's thought, which are probably less known outside Italy; for other Italian work, which was more successful internationally, just a brief description is given. Pearsonian topics are divided into three categories: curve systems, interpolation and correlation. For the first category, the contribution by F. De Helguero and F. Insolera is outlined. The former worked on dimorphic curves and developed a new family as a modification of the normal model; the latter dealt primarily with the problems arising when Pearson's curve system is applied to data that do not meet its basic assumptions. For interpolation, we recall a remarkable work by C. Gini, where Pearson's idea of minimizing geometrical distances of points from an interpolating line is discussed and extended. Contributions by G. Pietra and G. Bortolotti are discussed. Regarding correlation, where the Italian contribution was large, the paper focuses on the work by C.E. Bonferroni and G. Parenti, who extended Pearson's product‐moment correlation r and Pearson's correlation ratio η to the general case of polynomial dependence. A discussion on the correct interpretation of η by Parenti is reported.

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  • 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.
    • Handle: RePEc:bla:istatr:v:77:y:2009:i:1:p:81-95
    DOI: 10.1111/j.1751-5823.2009.00070.x
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    1. 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.
    2. Eugene Seneta, 2009. "Karl Pearson in Russian Contexts," International Statistical Review, International Statistical Institute, vol. 77(1), pages 118-146, April.
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    Cited by:

    1. Arthur Pewsey, 2015. "Discussion," International Statistical Review, International Statistical Institute, vol. 83(2), pages 211-217, August.

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