The Uncertain Past - Probability in Ancient History (Hardcover)


Historians constantly wrestle with uncertainty, never more so than when attempting quantification, yet the field has given little attention to the nature of uncertainty and strategies for managing it. This volume proposes a powerful new approach to uncertainty in ancient history, drawing on techniques widely used in the social and natural sciences. It shows how probability-based techniques used to manage uncertainty about the future or the present can be applied to uncertainty about the past. A substantial introduction explains the use of probability to represent uncertainty. The chapters that follow showcase how the technique can offer leverage on a wide range of problems in ancient history, from the incidence of expropriation in the Classical Greek world to the money supply of the Roman empire.

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Product Description

Historians constantly wrestle with uncertainty, never more so than when attempting quantification, yet the field has given little attention to the nature of uncertainty and strategies for managing it. This volume proposes a powerful new approach to uncertainty in ancient history, drawing on techniques widely used in the social and natural sciences. It shows how probability-based techniques used to manage uncertainty about the future or the present can be applied to uncertainty about the past. A substantial introduction explains the use of probability to represent uncertainty. The chapters that follow showcase how the technique can offer leverage on a wide range of problems in ancient history, from the incidence of expropriation in the Classical Greek world to the money supply of the Roman empire.

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Product Details

General

Imprint

Cambridge UniversityPress

Country of origin

United Kingdom

Release date

November 2022

Availability

Expected to ship within 12 - 17 working days

Editors

, ,

Dimensions

252 x 176 x 20mm (L x W x T)

Format

Hardcover

Pages

348

ISBN-13

978-1-00-910065-6

Barcode

9781009100656

Categories

LSN

1-00-910065-3



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