Statistics http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/70 2026-09-14T23:40:06Z 2026-09-14T23:40:06Z Felix, Melang Mathias ThankGod, Joshua Olateju, Alao Bamigbala Sayuti, Fatima Yahaya http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31714 2026-06-24T20:42:50Z 2025-04-13T00:00:00Z

Title: Assessment of Maternal Mortality in Federal Medical Centre Jalingo Using ARIMA Model Authors: Felix, Melang Mathias; ThankGod, Joshua; Olateju, Alao Bamigbala; Sayuti, Fatima Yahaya Abstract: Nigeria bears a disproportionate burden of global maternal mortality, contributing approximately 10% of all maternal deaths worldwide. This study adopts a multi-theoretical and empirical approach to analyze the complex interplay of socio-cultural, economic, and systemic determinants influencing maternal mortality in Nigeria. Grounded in models such as the Three Delays Model, Health Belief Model, Social Determinants of Health, Andersen’s Behavioral Model, and the Cultural and Structural Competency Framework, the research highlights the multifaceted barriers impeding timely and effective maternal care. Empirical findings based on Autoregressive Integrated Moving Average (ARIMA) modeling reveal persistent, though insufficient, declines in maternal and child mortality over recent decades. Additionally, socioeconomic variables such as low levels of female education, high fertility rates, poverty, and inadequate access to antenatal care significantly correlate with maternal mortality rates. The study critiques existing interventions as poorly coordinated and unsustainable, with limited community involvement and cultural adaptation. Recommendations emphasize a multilevel prevention strategy-ranging from primordial to quaternary levels—integrating structural reforms, community-based education, capacity-building among healthcare providers, and a reconfiguration of national health policy. The findings contribute to the growing body of knowledge on maternal health by providing a comprehensive, culturally-informed, and data-driven analysis aimed at guiding future research, policy, and practice.

2025-04-13T00:00:00Z Oguche, Samuel Isah, Audu Abdullahi, Usman Sayuti, Fatima http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31713 2026-06-24T20:11:32Z 2025-05-30T00:00:00Z

Title: Survival Analysis of Data on Human Immunodeficiency Virus (HIV) Infection among Children Aged One to Ten Years at General Hospital Minna, Niger State, Nigeria Authors: Oguche, Samuel; Isah, Audu; Abdullahi, Usman; Sayuti, Fatima Abstract: This research utilised survival analysis to study and model data on human immunodeficiency virus (HIV) infection, among children aged one to ten years old. The study adopted the Gompertz parametric and Cox proportional semi parametric survival model to fit the HIV data and estimated the survival functions using the Kaplan-Meier estimator. The predictor variables of interest included age, weight, height, sex, mother-to-child transmission, residence, viral load, HIV and educational status of the parents. Purposive sampling technique was used to collect the required data from January, 2007 to December, 2021 at General Hospital Minna, Niger State. The analysis revealed that only viral load with a p-value of 0.000 was statistically significant predictor of the event, indicating it is significant at 0.05 level. This indicated lower risk of death and higher chance of surviving. The Gompertz model gave the best fit with Akaike Information Criterion of 569.17 and Bayesian Information Criterion of 609.19. Early initiation and consistent adherence to Antiretroviral Therapy (ART) can effectively suppress viral load. Children born to HIV-positive mothers, particularly those with unsuppressed viral loads, require regular monitoring due to their increased risk of death from mother-to-child transmission.

2025-05-30T00:00:00Z Usman, A Haruna, S Yakubu, YU. Y Baba http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31274 2026-05-18T04:06:43Z 2025-01-01T00:00:00Z

Title: Calibration Approach to Developed Triple Means Estimators Authors: Usman, A; Haruna, S; Yakubu, YU. Y; Baba Abstract: Calibration estimation has become a ubiquitous methodology across diverse fields, providing a foundational framework for tackling complex statistical problems. Its significance In recent years, has emerged as a pivotal topic in research on estimation in survey sampling where it has emerged as a crucial area of study. By providing a systematic approach to integrating auxiliary information, calibration enhances the estimation procedure, rendering it a valuable tool in statistical analysis. The article propounds an calibration approaches of triple mean under simple random sampling of variance estimators, the proposed calibration have been Corresponding author: E-mail: sharunakutigi@gmail.com; Cite as: Suleiman Haruna, Yisa Yakubu, Usman Abubakar, and Usman Yahaya Baba. 2025. “Calibration Approach to Developed Triple Means Estimators”. Asian Research Journal of Mathematics 21 (11):76–91. https://doi.org/10.9734/arjom/2025/v21i111013. Haruna et al.; Asian Res. J. Math., vol. 21, no. 11, pp. 76-91, 2025; Article no.ARJOM.146587 develop utilizing sample variance incorporation with existing estimators of AM, GM, HM, in the problem constraints of the optimization in other to contribute effectively to new design calibrated weight. However, the proposed new weight is obtained using most common approach Lagrange function with two multipliers. The motivation for using calibration scheme is due to their ability in reduce bias and means square error, enhance precision, base on how auxiliary variable are been utilized, provide flexibility, comply with standard and improve decision making. Focusing on simulated data approached using exponential and beta the result indicate superiority of classes calibrated estimators of studied via R packages.

2025-01-01T00:00:00Z Usman, A Adeleke, B. L Adeleke, M. O http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31269 2026-05-18T03:26:54Z 2022-01-01T00:00:00Z

Title: Investigation of Some Features Inherent in Analysis of Variance and one of its Variants in the Multivariate Setting Authors: Usman, A; Adeleke, B. L; Adeleke, M. O Abstract: It is common to have experiments conducted with the quest to seek an option in the use of analysis of variance (ANOVA) as incontrovertible choice among experimenters. The validity of this quest has been responsible for the considerable attention that has been given to the use of ANOVA. Different Types of experiments may throw up one or more response variable. With one response variable, the ANOVA option is indeed appropriate. However, for the simplicity of ANOVA the experimenter may have to contend with the somewhat a variant of it, even when the use of more than one response variable becomes expedient. The foregoing situation will be in violation of some well establishment ground norm of the need to overcome burdensome computations. This paper therefore presents a number of situations for the purpose of unveiling the inherent forms of statistics that are required to be computed. Although these statistics may appear to be burdensome or complicated in forms as they may present themselves in the setting of Multivariate ANOVA (MANOVA), which in reality has the other side of considerable reduction in the number of various statistics that are required to be computed. Such statistics are the sums of squares and sum of products for the two distinct independent components, in both the treatment and error, that the total sums of squares and products (SSPM) in the MANOVA has to be split into. Ditto, for the ANOVA that has its total sums of squares (SS), to be split into two orthogonal parts of treatment and error respectively. Furthermore, the appropriate number of independent components in which the treatment component will be partitioned is indeed determined by the number of factors say k, with the corresponding labels A1, A2, … , Ak, that the experimenter may have to adopt. A number of examples were presented for the illustration of distinct features inherent in both the ANOVA and MANOVA.

2022-01-01T00:00:00Z