Hidden heterogeneity in manpower systems: a Markov-switching model approach

DOI10.1016/j.ejor.2010.10.039zbMath1207.90068OpenAlexW2145891566MaRDI QIDQ631108

Marie-Anne Guerry

Publication date: 22 March 2011

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://biblio.vub.ac.be/vubirfiles/76356316/Guerry_EJOR_2010.pdf

zbMATH Keywords

unobserved heterogeneityMarkov-switching modelmanpower planningmover-stayer

Mathematics Subject Classification ID

Theory of organizations, manpower planning in operations research (90B70)

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Cites Work

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• Inference in hidden Markov models.
• Modelling heterogeneity in a manpower system: a review
• A Grade-Specific Stochastic Model for the Analysis of Wastage in Manpower Systems
• Modelling heterogeneity in manpower planning: dividing the personnel system into more homogeneous subgroups
• Profile-based push models in manpower planning
• A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle
• An Introduction to the Application of the Theory of Probabilistic Functions of a Markov Process to Automatic Speech Recognition