Regression with Archaeological Count Data

IF 1.9 2区 历史学 0 ARCHAEOLOGY
Brian F. Codding, Simon C. Brewer
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引用次数: 0

Abstract

Archaeological data often come in the form of counts. Understanding why counts of artifacts, subsistence remains, or features vary across time and space is central to archaeological inquiry. A central statistical method to model such variation is through regression, yet despite sophisticated advances in computational approaches to archaeology, practitioners do not have a standard approach for building, validating, or interpreting the results of count regression. Drawing on advances in ecology, we outline a framework for evaluating regressions with archaeological count data that includes suggestions for model fitting, diagnostics, and interpreting results. We hope these suggestions provide a foundation for advancing regression with archaeological count data to further our understanding of the past.
考古计数数据回归
考古数据通常以计数的形式出现。了解为什么文物、生活遗迹或地貌的数量会因时间和空间的不同而变化是考古研究的核心。建立这种变化模型的核心统计方法是回归法,然而,尽管考古学的计算方法取得了长足的进步,从业人员却没有建立、验证或解释计数回归结果的标准方法。借鉴生态学的进展,我们概述了评估考古计数数据回归的框架,包括模型拟合、诊断和结果解释的建议。我们希望这些建议能为推进考古计数数据回归奠定基础,从而进一步加深我们对过去的了解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.70
自引率
21.40%
发文量
39
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