Hotelling and Wilson on Statistical Inference: Local Attitudes and Universal Dreams.
During the early 1920s, a scattered group of American scholars, among whom were Harold Hotelling and E. B. Wilson, started a joint effort to develop statistical instruments in economics. They became interested in disparate topics such as the statistical determination of demand curves, business cycle...
| Publicado en: | History of Political Economy Vol. 56; no. 3; pp. 561 - 587 |
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| Autores principales: | , |
| Formato: | Artículo |
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Duke University Press
Jun2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=177757966&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 177757966 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00182702 HPE jtl: History of Political Economy issn: 00182702 maglogo: N pubinfo: dt: Jun2024 vid: 56 iid: 3 pid: 154 pub: Duke University Press artinfo: ui: 177757966 10.1215/00182702-11156248 ppf: 561 ppct: 26 formats: tig: atl: Hotelling and Wilson on Statistical Inference: Local Attitudes and Universal Dreams. aug: au: Carvajalino, Juan Mueller, Thomas Michael affil: University Paris 8, Vincennes-Saint-Denis su: Harvard University Columbia University Stanford University Business cycles Attitude (Psychology) Economics education Inferential statistics Demand function Probability theory sug: subj: Business cycles Attitude (Psychology) Economics education Harvard University Columbia University Stanford University Inferential statistics Demand function Probability theory keyword: E. B. Wilson Harold Hotelling history of statistics and inference E. B. Wilson Harold Hotelling history of statistics and inference ab: During the early 1920s, a scattered group of American scholars, among whom were Harold Hotelling and E. B. Wilson, started a joint effort to develop statistical instruments in economics. They became interested in disparate topics such as the statistical determination of demand curves, business cycles, yield forecasting, population growth, and many others. Hotelling and Wilson shared much: both were trained in mathematics, both were convinced of the importance of developing inferential statistical tools based on probability theory, and both were at odds with the common sentiment of the community of statisticians contemporary with them, a community that was highly skeptical about statistical inference grounded on probabilities. Their trajectories, however, differed, diverted by their entanglement with Stanford for Hotelling and Harvard for Wilson. Confronted with different local realities, they came to develop profoundly different approaches that characterized the debates of the 1920s and 1930s on statistical inference. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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