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Dr. Edwins Baraza
Senior Lecturer, Department Of Accounting And Finance, School Of Business And Economics, Jaramogi Oginga Odinga
Social Financing And The Financial Performance Of Selected Commercial Banks Listed On The Nairobi Securities Exchange
This paper investigated the relationship between social financing and the financial performance of commercial banks listed on the Nairobi Securities Exchange (NSE). Social financing encompasses investments, products, and initiatives that promote social inclusion, community development, and equitable access to financial services. Drawing from secondary data covering 2021-2023, the study employed regression analysis to determine the impact of social financing on

Dr. Fronica Monari
Senior Lecturer, Department Of Tourism And Management Sciences, School Of Business And Economics, Jaramogi Oginga
Mixture Poisson Autoregressive (p) Model With Application To Anaemia Cases Among Breast Feeding Children In Mubi North Lga, Adamawa State
This research presents and assesses a novel model for time-series count data, the Mixture Poisson Autoregressive (MPAR) model, which addresses the challenges of discreteness, overdispersion, and serial correlation. The parametric technique is used for the MPAR model with a marginal distribution for the count data. The MPAR model was applied to Anaemia cases among exclusive and non-exclusive breastfeeding children in

Adam Ganiyu Dada
Department Of Mathematics And Statistics, Rufus Giwa Polytechnic, Owo Ondo State, Nigeria
Comparative Analysis Of Federal Government Allocation Across Southwestern Nigeria: A Statistical Investigation
This study examines the patterns, disparities, and statistical significance of Federal Government allocations (FAAC disbursements) across the six Southwestern states of Nigeria (Lagos, Ogun, Oyo, Osun, Ondo, and Ekiti) between January 2016 and June 2025. Anchored on Fiscal Federalism Theory, it explores how intergovernmental fiscal relations influence subnational autonomy and development. Using secondary data from the Federation Account Allocation Committee

Olarinde Bolanle Olawumi
Department Of Mathematics And Statistics, Rufus Giwa Polytechnic, Owo Ondo State, Nigeria
Estimation Of Closed-form Solution For Two-parameter Gamma Distribution On Rainfall Series In Southwestern Nigeria
This study examines the statistical behavior of monthly rainfall over a forty-one-year period (1981-2021) across five Southwestern Nigerian states: Ogun, Ondo, Oyo, Osun, and Lagos to determine the most suitable probability distribution for modeling rainfall variability. Descriptive statistics revealed mean monthly rainfall ranging with standard deviations, indicating moderate variability. Skewness values and negative kurtosis confirmed that the rainfall data are

Dr. Khaoula Ben Cheick Souguir
Architect, Phd Esthetics And Arts Partices, University Teacher At Kairouan University, Tunisia
Protecting Architectural Heritage In The Age Of Artificial Intelligence
Architectural heritage embodies the cultural, historical, and social memory of civilizations. In the context of rapid urbanization, climate change, armed conflict, and limited financial resources, traditional methods of heritage protection face unprecedented challenges. Simultaneously, artificial intelligence (AI) is profoundly transforming how architectural heritage is documented, analyzed, conserved, and managed. This article provides an in-depth academic investigation into the role of

Nuhu Bata Malgwi
Department Of Mathematics And Statistics, Federal Polytechnic, Mubi, Adamawa State, Nigeria
Organisational Culture, Gender Relativism, And Religious Stereotyping As Predictors Of Glass Ceilings In Oyo State Sports Council
Women remain persistently underrepresented in sports leadership in Nigeria despite their qualifications. This study examined how organisational culture, gender relativism, and religious stereotyping predict the perception of the glass ceiling among staff of the Oyo State Sports Council. Using a descriptive correlational research design, data were collected from 120 administrative, coaching, and technical staff through questionnaires.

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