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The Rise of Statistical Thinking, 1820-1900
Abstract
This book explores the history of statistics from the field's origins in the nineteenth century through to the factors that produced the burst of modern statistical innovation in the early twentieth century. The book shows that statistics was not developed by mathematicians and then applied to the sciences and social sciences. Rather, the field came into being through the efforts of social scientists, who saw a need for statistical tools in their examination of society. Pioneering statistical physicists and biologists James Clerk Maxwell, Ludwig Boltzmann, and Francis Galton introduced statistical models to the sciences by pointing to analogies between their disciplines and the social sciences. A new preface looks at how the book has remained relevant since its initial publication, and considers the current place of statistics in scientific research.
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Citations
Cited by
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Accounting numbers as “inscription”: Action at a distance and the development of accounting
Robson, K. (1992) · Accounting, Organizations and Society · doi:10.1016/0361-3682(92)90019-o · Cited by 721
Toward Information Infrastructure Studies: Ways of Knowing in a Networked Environment
Bowker, G. C., Baker, K., Millerand, F., & Ribes, D. (2009) · International Handbook of Internet Research · doi:10.1007/978-1-4020-9789-8_5 · Cited by 654
Teaching Bayesian reasoning in less than two hours.
Sedlmeier, P., & Gigerenzer, G. (2001) · Journal of Experimental Psychology: General · doi:10.1037//0096-3445.130.3.380 · Cited by 366
Metadata
- Authors
- Cohen, P. C., & Porter, T. M.
- Venue
- The American Historical Review
- Publisher
- JSTOR
- Published
- 1988-02
- Volume
- 93
- Issue
- 1
- Pages
- 116
- ISSN
- 0002-8762 (ISSN-L)
- OpenAlex
- W1981278110
- Cited by
- 581
- References
- 0
- FWCI
- 48.49
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.