From John Graunt to Adolphe Quetelet: on the Origins Of Demography
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F23%3A00581711" target="_blank" >RIV/67985807:_____/23:00581711 - isvavai.cz</a>
Result on the web
<a href="https://relik.vse.cz/2023/download/pdf/671-Kalina-Jan-paper.pdf" target="_blank" >https://relik.vse.cz/2023/download/pdf/671-Kalina-Jan-paper.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
From John Graunt to Adolphe Quetelet: on the Origins Of Demography
Original language description
John Graunt (1620-1674) and Adolphe Quetelet (1796-1874) were two important personalities, who contributed to the origins of demography. As they both developed statistical techniques for the analysis of demographic data, they are important also from the point of view of history of statistics. The contributions of both Graunt and Quetelet especially to the development of mortality tables and models are recalled in this paper. Already from the 17th century, the available mortality tables were exploited for computing life annuities. Also the contribution of selected personalities inspired by Graunt are recalled here, the work of Christian Huygens, Jacob Bernoulli, or Abraham de Moivre is discussed to document that the historical development of statistics and probability theory was connected with the development of demography.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
60301 - Philosophy, History and Philosophy of science and technology
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
RELIK 2023. Conference Proceedings
ISBN
978-80-245-2499-3
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
113-122
Publisher name
Prague University of Economics and Business
Place of publication
Prague
Event location
Praha
Event date
Nov 23, 2023
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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