Identification of Best Fit Probability Distribution for Infant Birth Weight

Ilesanmi A.o, Odukoya E.a, Aladejana A.e, Ogunboyo Ojo Femi, Ajewole K.p and Popoola O.E.
Additional contact information
Ilesanmi A.o: Department Of Statistics, Ekiti State University, Ado-Ekiti, Ekiti State, Nigeria.
Odukoya E.a: Department Of Statistics, Ekiti State University, Ado-Ekiti, Ekiti State, Nigeria.
Aladejana A.e: Department Of Statistics, Ekiti State University, Ado-Ekiti, Ekiti State, Nigeria.
Ogunboyo Ojo Femi: Epidemiology And Biostatistics Department, University of Medical Sciences Ondo, Ondo State, Nigeria
Ajewole K.p: Department Of Physical Sciences, Mathematics Program, Landmark University, Omu- Aran.
Popoola O.E.: Mathematical Sciences Department, Bamidele Olumilua University of Education, Science and Technology, Ikere.

International Journal of Research and Innovation in Applied Science, 2024, vol. 9, issue 8, 590-597

Abstract: Birth weight is the first weight recorded for a newborn, taken within 0 to 30minutesofdelivery. It is an indicator of a newborn’s chances for survival and growth. This study identified the best fit probability distribution for newborn birth weight in Ekiti State Nigeria. In the year 2021 there were 349 births recorded, with 163 males and 186 females. Also, in 2022 the number of births increased slightly to 353, comprising 179 males and 174 females. The selection of the best fit probability distribution was determined by Goodness of fit such as AIC, BIC, CAIC. Birth weights recorded within 0 to 30 minutes of delivery were obtained from Federal Teaching Hospital Ido-Ekiti and it comprise of both male and female newborn babies between 2021 and 2022.The analysis reveals that the mean birth weight is consistently higher for males compared to females in both 2021 and 2022. The results also showed that Weibull distribution is the least suitable model, with the highest AIC (1073.675), BIC (1077.800), and CAIC (1075.887) values, indicating a poor fit for the birth weight data follow by Normal and Gumbel distributions while the Log-normal distribution has the lowest AIC (737.110), BIC (741.234) and CAIC (739.321). This indicates that Log-Normal distribution is the most appropriate among the four probability distributions considered in this study.

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.rsisinternational.org/journals/ijrias/ ... -issue-8/590-597.pdf (application/pdf)
https://rsisinternational.org/journals/ijrias/arti ... infant-birth-weight/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bjf:journl:v:9:y:2024:i:8:p:590-597

Access Statistics for this article

International Journal of Research and Innovation in Applied Science is currently edited by Dr. Renu Malsaria

More articles in International Journal of Research and Innovation in Applied Science from International Journal of Research and Innovation in Applied Science (IJRIAS)
Bibliographic data for series maintained by Dr. Renu Malsaria ().