Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.
APA Citation Edition CitationKey, A. J. M., & Lycett, S. J. (2019). Biometric variables predict stone tool functional performance more effectively than tool-form attributes: A case study in handaxe loading capabilities. Oxford University, Research Laboratory for Archaeology and the History of Art.
Chicago Citation Edition CitationKey, A. J. M., und S. J. Lycett. Biometric Variables Predict Stone Tool Functional Performance More Effectively than Tool-form Attributes: A Case Study in Handaxe Loading Capabilities. Oxford: Oxford University, Research Laboratory for Archaeology and the History of Art, 2019.
MLA Citation Edition CitationKey, A. J. M., und S. J. Lycett. Biometric Variables Predict Stone Tool Functional Performance More Effectively than Tool-form Attributes: A Case Study in Handaxe Loading Capabilities. Oxford University, Research Laboratory for Archaeology and the History of Art, 2019.
