Multivariate Regression Analysis of Personnel Fluctuation in the Land Forces
Copyright (c) 2026 Pászthory Domonkos
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Absztrakt
Personnel fluctuation in military units is widely considered both inevitable and a necessity for organisational interoperability. The ideal scale and frequency, however, is a matter of ongoing academic and institutional discourse. The purpose of this study is not to assess the impact of fluctuation on effectiveness, but rather to uncover its internal patterns and drivers. As they are shaped by tradition and collective experience, the armed forces often elude simple statistical models. This study applies linear and multivariate regression analysis to an eight-year dataset (2017–2024) of an infantry battalion within the Hungarian Defence Forces. Rather than seeking to account for the full variance of fluctuation, the objective of the analysis is to capture a defined and major portion of it, thus offering a data-driven, disciplined and objective overview of fluctuation within the land forces.
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