Homogeneity versus Parsimony in Markov Manpower Models: A Hidden Markov Chain Approach
Everestus O. Ossai, Precious N. Ezra, Felix O. Ohanuba, Martin N. Eze
Asian Journal of Probability and Statistics · pp. 82–93 · Published 5 Dec 2022
10.9734/ajpas/2022/v20i4441Abstract
We aim at tackling the problem of inadequate specification of a Markov manpower model in this paper, by formulating a procedure for validating the inclusion or non-inclusion of some transition parameters in the model. The mover-stayer principle and its extensions are employed to incorporate hidden classes in the model to achieve more homogeneity and this is compared with the model without the hidden classes, which is more parsimonious, using Likelihood ratio statistic, Akaike Information Criterion and Bayesian Information Criterion. The illustration shows a case of manpower data where, up to a certain level of hidden states, homogeneity is more important than parsimony.
Cited by 2
Everestus O. Ossai, Mbanefo S. Madukaife · Asian Journal of Probability and Statistics · 2022
Everestus O. Ossai, Uchenna C. Nduka, Mbanefo S. Madukaife · Communications in Statistics - Theory and Methods · 2023
Related research
- Estimating the Temporal Leachate Contamination Potential of Yenagoa Central Waste Dumpsite, Using Leachate Pollution Index, Abanigi Road Etelebu, Nigeria — shares topic coverage
- The Study of Information Dissemination Behavior in Online Social Network with Propagation Delay — shares topic coverage
- Evaluation of Homogeneity and Structuring of Phenotypic Diversity of Maize (Zea mays L.) Lines of the Fourth Generation Derived from Induced Mutation in Daloa, Côte d'Ivoire — shares topic coverage
- Study of Socioeconomic Profile of Paddy Farmers Adopting Alternate Wetting and Drying (AWD) Technology in Odisha, India — shares topic coverage
- Conducting an Inventory and Ethnobotanical Assessment of Plant Species at Osun State College of Education in Ila-Orangun, Osun State, Nigeria — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
2
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.