Application of Time Series Decomposition Techniques of Admission Patterns in Orphanage Homes

This study applies decomposition technique on the admission of orphans and vulnerable children (OVC) into orphanage homes. Present studies have dwelt more on the number of OVC, the estimation of the parents that are dead, and the socioeconomic well-being of OVC. Hence, there is need to study the pattern of OVC admittance. Monthly data were collected from Niger state orphanage home register and documented for a period of twenty years (2000-2020). A time series decomposition analysis was carried out to determine an appropriate model, investigate the trend of admission of OVC, and establish if there is a seasonal pattern in the series. Results showed that the pseudo-additive model was most appropriate for the series which showed a decreasing linear trend. The study also showed that there is a seasonal pattern that has the second and third quarters of the year with the highest incidence of admission into orphanage home.

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Publication Details

Journal
Journal of Multidisciplinary Science MIKAILALSYS
Published
2025-04-13
DOI
https://doi.org/10.58578/mikailalsys.v3i2.5356
Primary Topic
Sleep and Work-Related Fatigue
Type
article
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article

Application of Time Series Decomposition Techniques of Admission Patterns in Orphanage Homes

Abubakar Isah, Emmanuel Fidel Ononuju, Joshua ThankGod
Journal of Multidisciplinary Science MIKAILALSYS
Sleep and Work-Related Fatigue
article

Application of Time Series Decomposition Techniques of Admission Patterns in Orphanage Homes

Abubakar Isah, Emmanuel Fidel Ononuju, Joshua ThankGod
article en

Abstract

This study applies decomposition technique on the admission of orphans and vulnerable children (OVC) into orphanage homes. Present studies have dwelt more on the number of OVC, the estimation of the parents that are dead, and the socioeconomic well-being of OVC. Hence, there is need to study the pattern of OVC admittance. Monthly data were collected from Niger state orphanage home register and documented for a period of twenty years (2000-2020). A time series decomposition analysis was carried out to determine an appropriate model, investigate the trend of admission of OVC, and establish if there is a seasonal pattern in the series. Results showed that the pseudo-additive model was most appropriate for the series which showed a decreasing linear trend. The study also showed that there is a seasonal pattern that has the second and third quarters of the year with the highest incidence of admission into orphanage home.

Journal of Multidisciplinary Science MIKAILALSYSVol. 3(2)
Kwararafa University (NG), Federal University Wukari, Federal University of Technology Minna (NG)
Openalex Percentile: Top 93%
Sleep and Work-Related Fatigue
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