Statistical Framework: Estimating the Cumulative Shares of Nobel Prizes from 1901 to 2022

Xu Zhang (), Bruce Golden and Edward Wasil
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Xu Zhang: Department of Mathematics, University of Maryland, College Park, MD 20742, USA
Bruce Golden: Robert H. Smith School of Business, University of Maryland, College Park, MD 20742, USA
Edward Wasil: Kogod School of Business, American University, Washington, DC 20016, USA

Stats, 2024, vol. 7, issue 1, 1-15

Abstract: Studying trends in the geographical distribution of the Nobel Prize is an interesting topic that has been examined in the academic literature. To track the trends, we develop a stochastic estimate for the cumulative shares of Nobel Prizes awarded to recipients in four geographical groups: North America, Europe, Asia, Other. Specifically, we propose two models to estimate how cumulative shares change over time in the four groups. We estimate parameters, develop a prediction interval for each model, and validate our models. Finally, we apply our approach to estimate the distribution of the cumulative shares of Nobel Prizes for the four groups from 1901 to 2022.

Keywords: Nobel Prizes; cumulative share; log–log transformation; prediction interval; estimation (search for similar items in EconPapers)
JEL-codes: C1 C10 C11 C14 C15 C16 (search for similar items in EconPapers)
Date: 2024
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