Quantitative history

Quantitative history is a branch of history that uses numerical data analysis as a primary source for the analysis and interpretation of historical events. Historians have made use of numerical data and simple statistics, but it has only been since the advent of computer-assisted data analysis, facilitating Fourier transforms of data series, quantitative modeling, filtering of stochastic drifts and other advances in the analysis of secular trends that quantitative history has come of age. However, this type of history is often ignored by historians who conceptualize history as a record of events and view the quantitative analysis of these events with skepticism and sometimes disdain. To better understand the idea of the quantitative history, let us elucidate some of its basic principles.

Related Topics:
Fourier - Stochastic drift

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