Suleman Nasiru

Biographic Data

ID4168722
NAMESuleman Nasiru
GIVEN NAMESSuleman
FAMILY NAMENasiru
SIGNATURENASIRU S
AFFILIATIONSC.K. Tedam University of Technology and Applied Sciences
ORCID0000-0001-6652-4251
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS1
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2026
H-INDEX1

  • Predicting Cocoa Prices in Ghana Using Machine Learning and Decomposition Based Hybrid Models

    Open AccessMashud Wahab, Abdul Ghaniyyu Abubakari et al.ARTICLEStatistics Politics and Policy2026References: 2

    The contribution of cocoa to the economies of countries, especially producing countries cannot be understated. However, volatility in the prices of commodities affect all stakeholders in the production value chain as it affects planning, policy implementation and mitigation of risks. Thus, it is very crucial to be able to forecast cocoa prices with a high degree of certainty. Hence, this study modeled cocoa prices in Ghana using 15 machine learni…

  • Bayesian Analysis of Tuberculosis Cases in Bolgatanga Municipality, Ghana–West Africa

    Open AccessErnest Zamanah, Suleman NasiruARTICLEStatistics Politics and Policy2025Cited by: 1

    Tuberculosis (TB) represents a major threat to global health security and is currently the world most deadly infectious disease. TB is noted to affect people of all age groups and exposure to the disease has been shown to exhibit variation in the risk of infection across different factors. This study was therefore carried out to identify possible disease associations of some risk factors in relation to time until onset of TB among TB infected ind…

  • Trend and Fuzzy Time Series Analysis of Live Births Registration in Northern Ghana

    Abdulai Nagumsi, Suleman Nasiru et al.ARTICLEStatistics Politics and Policy2024References: 1

    This study investigated four trend analysis models namely; linear, quadratic, semi log linear and semi log quadratic to study the pattern of live births registration in the Northern Region of Ghana. The study revealed that Semi log linear trend model is the best trend model for studying the pattern of live births registration in the Northern Region of Ghana based on AIC and BIC criteria. The study further fitted four existing fuzzy time series (F…

  • Bayesian Switching Volatility Models for Analysing Stock Returns in Ghana

    Edward Akurugu, Irene Dekomwine Angbing et al.ARTICLEStatistics Politics and Policy2022References: 1

    The goal of this research was to use Bayesian switching volatility models to model the stock returns of the GCB, bank in Ghana. Monthly stock prices of GCB bank for the period of 138 months were used for the study. The two-state Markov-Switching GARCH models were used in the study to determine the best model for modelling and forecasting the stock returns. The Deviance Information Criteria was considered when selecting the best model. Based on th…

  • Tweedie Regression Analysis of Determinants of Birth Weight in Navrongo

    Emmanuel N-yambi Tegee, Edward Akurugu et al.ARTICLEStatistics Politics and Policy2022References: 1

    The study modelled and investigated the determinants of infant birth weight by considering maternal and infant factors as predictors. Monthly data spanning for a period of 37 months were obtained from the Navrongo Health Research Centre of the Navrongo Municipality of the Upper East region of Ghana. In modelling the birth weight of infants, the Tweedie regression model and its counterparts of exponential families (Gaussian, Gamma and inverse Gaus…