The Rise of Statistical Thinking, 1820–1900

The Rise of Statistical Thinking, 1820–1900Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled. Condition: BRAND NEW ISBN: 9780691208428 Format: Trade paperback (US) Year: 2020 Publisher: Princeton University Press Description: An essential work on the origins of statistics. The Rise of Statistical Thinking, 18201900 explores the history of statistics from the field's origins in the nineteenth century through to the

Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled.


Condition: BRAND NEW
ISBN: 9780691208428
Format: Trade paperback (US)
Year: 2020
Publisher: Princeton University Press


Description:


An essential work on the origins of statistics.

The Rise of Statistical Thinking, 1820–1900 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. Theodore Porter 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 by the author looks at how the book has remained relevant since its initial publication, and considers the current place of statistics in scientific research.

'An outstanding feature of Mr. Porter's book is its depiction of the interrelationships between statistics and certain intellectual and social movements...[The book] is unfailingly interesting.' — Morris Kline, New York Times Book Review

'The Rise of Statistical Thinking avoids technicalities and concentrates on the flow of ideas between the natural and social sciences. It emphasizes the philosophical issues raised by novel statistical methods, and how they affected the subject's development.' — Ian Stewart, Nature