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Estimating the number of casualties in the American Indian war: a Bayesian analysis using the power law distribution

Lookup NU author(s): Dr Colin Gillespie

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This is the authors' accepted manuscript of an article that has been published in its final definitive form by Institute of Mathematical Statistics, 2017.

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Abstract

The American Indian war lasted over one hundred years, and is a major event in the history of North America. As expected, since the war commenced in late eighteenth century, casualty records surrounding this conflict contain numerous sources of error, such as rounding and counting. Additionally, while major battles such as the Battle of the Little Bighorn were recorded, many smaller skirmishes were completely omitted from the records. Over the last few decades, it has been observed that the number of casualties in major conflicts follows a power law distribution. This paper places this observation within the Bayesian paradigm, enabling modelling of different error sources, allowing inferences to be made about the overall casualty numbers in the American Indian war.


Publication metadata

Author(s): Gillespie CS

Publication type: Article

Publication status: Published

Journal: Annals of Applied Statistics

Year: 2017

Volume: 11

Issue: 4

Pages: 2357-2374

Online publication date: 28/12/2017

Acceptance date: 04/07/2017

Date deposited: 04/10/2017

ISSN (print): 1932-6157

ISSN (electronic): 1941-7330

Publisher: Institute of Mathematical Statistics

URL: https://doi.org/10.1214/17-AOAS1082

DOI: 10.1214/17-AOAS1082


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