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The History of Statistics
Stephen M. Stigler
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Description for The History of Statistics
Paperback. Stigler shows how statistics arose from the interplay of mathematical concepts and the needs of several applied sciences. His emphasis is upon how methods of probability theory were developed for measuring uncertainty, for reducing uncertainty, and as a conceptual framework for quantitative studies in the social sciences. Num Pages: 432 pages, 28 halftones; 25 line illustrations. BIC Classification: PBT; PDX. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 27. Weight in Grams: 614.
This magnificent book is the first comprehensive history of statistics from its beginnings around 1700 to its emergence as a distinct and mature discipline around 1900. Stephen M. Stigler shows how statistics arose from the interplay of mathematical concepts and the needs of several applied sciences including astronomy, geodesy, experimental psychology, genetics, and sociology. He addresses many intriguing questions: How did scientists learn to combine measurements made under different conditions? And how were they led to use probability theory to measure the accuracy of the result? Why were statistical methods used successfully in astronomy long before they began to play ... Read more
Show LessProduct Details
Publisher
Harvard University Press United States
Number of pages
432
Format
Paperback
Publication date
1990
Condition
New
Number of Pages
432
Place of Publication
Cambridge, Mass., United States
ISBN
9780674403413
SKU
V9780674403413
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-25
About Stephen M. Stigler
Stephen M. Stigler is Ernest DeWitt Burton Distinguished Service Professor Emeritus in the Department of Statistics at the University of Chicago.
Reviews for The History of Statistics
One is tempted to say that the history of statistics in the nineteenth century will be associated with the name Stigler.
Morris Kline
New York Times Book Review
An exceptionally searching, almost loving, study of the relevant inspirations and aberrations of its principal characters James Bernoulli, de Moivre, Bayes, Laplace, Gauss, Quetelet, Lexis, Galton, Edgeworth, and Pearson, ... Read more
Morris Kline
New York Times Book Review
An exceptionally searching, almost loving, study of the relevant inspirations and aberrations of its principal characters James Bernoulli, de Moivre, Bayes, Laplace, Gauss, Quetelet, Lexis, Galton, Edgeworth, and Pearson, ... Read more