• Effect of Firm Characteristics on the Relationship between Corporate Sustainability Reporting and Financial Performance of Companies Listed at the Nairobi Securities Exchange 

  Christopher Kitali Masila; Prof. Winnie Nyamute; Dr. Kennedy Okiro; Dr. Moris Irungu (African Development Finance Journal, 2024)

  Purpose: The study examines how firm characteristics moderates the relationship between corporate sustainability reporting and financial performance of companies listed at the Nairobi Securities Exchange. Methodology: ...
• Drivers of Community Participation in Participatory Forest Management; An Evidence of Kodera Forest in Kenya 

  Benard Ogweno Adwar; Prof. Maurice Juma Ogada; Christopher Masila (East African Journal of Forestry and Agroforestry, 2023)

  The present thirty-one percent of overall forest cover is not enough to conserve biological diversity globally and so the need to conserve the last global forests (Powlen et al., 2021). Kenya has experienced significant ...
• THE IMPACT OF AGENCY BANKING ON CUSTOMER SATISFACTION: A SURVEY ON AGENT BANKS IN KENYA 

  Masila Christopher kitali; Bellah Chepkulei; Peter M Shibairo (International Journal of Economics, Commerce and Management, 2015-06)

  The problem to be investigated was how agency banking has influenced customer satisfaction in Kenya. The research involved coming up with ways on how banks that use agent banking models were able to satisfy their customers’ ...
• AMOUD-G FAMILY OF LIFETIME DISTRIBUTIONS: PROPERTIES, HAZARD-BASED REGRESSION MODELS AND APPLICATIONS TO SURVIVAL DATA 

  Abdisalam Hassan MUSE; Samuel MWALILI; Oscar NGESA (International Conference on Mathematics and Its Applications in Science and Engineering (ICMASE 2022), 2022)

  In this article, we introduce a new family of lifetime distributions with one extra shape parameter, called the Amoud-G family, based on the cumulative hazard rate function, the well-known concept in survival and reliability ...
• MISSPECIFICATION OF FRAILTY RANDOM EFFECTS IN A CLUSTERED SURVIVAL DATA. 

  Kiche J; Oscar Ngesa; George Orwa (Journal of Statistical and Econometric Methods, 2019)

  Survival analysis models the time it takes until an event occurs. The prototypical event is death, from which the name survival analysis is derived.Accordingly, each time survival analysis is studied, aspects of some ...
• Exponentiated Nadarajah Haghighi Poisson Distribution 

  Diouma Sira KA; George Otieno Orwa; Oscar Ngesa (International Journal of Statistics and Probability, 2019)

  This paper discusses the Exponentiated Nadarajah-Haghighi Poisson distribution focusing on statistical properties such as the Quantile, Moments, Moment Generating Functions, Order statistics and Entropy. To estimate the ...
• A Comparative Study of Bayesian Stochastic Search Variable Selection Approach in Multiple Linear Regression 

  Christabel Nyanchama Bisonga; Oscar Owino Ngesa; Martine Odhiambo Oleche (International Journal of Mathematics Trends and Technology, 2022)

  The presence of insignificant predictors in models causes estimation bias and reduces prediction precision. Collinearity among predictors is a common problem that renders the design matrix unstable leading to unreliable ...
• THE EXTENDED EXPONENTIAL-WEIBULL ACCELERATED FAILURE TIME MODEL WITH APPLICATIONS TO CANCER DATA SET 

  Adam Braima MASTOR; Oscar NGESA; Joseph MUNGATU; Ahmed Z. AFIFY (International Conference on Mathematics and Its Applications in Science and Engineering, 2022)

  To model time-to-event data, the Weibull, log-logistic, and log-normal distributions are commonly utilized. Only monotone hazard rates are accommodated by the Weibull family, although log-logistic and log-normal are ...
• A FLEXIBLE FAMILY OF DISTRIBUTIONS BASED ON THE ALPHA POWER FAMILY OF DISTRIBUTIONS AND ITS APPLICATION TO SURVIVAL DATA 

  Veronica Kariuki; Anthony Wanjoya; Oscar Ngesa; Mohammed Alqawba (Pak. J. Statist., 2023)

  In this paper, we propose a flexible family called the exponentiated alpha-power-G (EAP-G) family. The benefits of the proposed family include its analytical simplicity and its ability to confer flexibility to the baseline ...
• Self-Selecting Robust Logistic Regression Model 

  Idelphonse L´eandre Tawanou Gbohounme; Oscar Owino Ngesa; Jude Eggoh (International Journal of Statistics and Probability, 2017-05)

  Logistic regression model is the most common model used for the analysis of binary data. However, the problem of atypical observations in the data has an unduly effect on the parameter estimates. Many researchers have ...
• Comparison of Statistical Models in Modeling Over- Dispersed Count Data with Excess Zeros 

  Ndwiga Antony Macharia; Oscar Ngesa; Anthony Wanjoya; Damaris Felistus Mulwa (International Journal of Research and Innovation in Applied Science (IJRIAS), 2019-05)

  Generalised Linear Models such as Poisson and Negative Binomial models have been routinely used to model count data. But, these models assumptions are violated when the data exhibits over-dispersion and zero-inflation. ...
• Estimating the extreme financial risk of the Kenyan Shilling Versus US Dollar exchange rates 

  Charles Kithenge Chege; Joseph Kyalo Mungat’u; Oscar Ngesa (Science Journal of Applied Mathematics and Statistics, 2016)

  In the last decade, world financial markets, including the Kenyan market have been characterized by significant instabilities. This has resulted to criticism on available risk management systems and motivated research on ...
• Discussion on Generalized Modified Inverse Rayleigh 

  Suleman Nasiru; Peter N. Mwita; Oscar Ngesa (Applied Mathematics & Information Sciences, 2017)

  In this paper, a generalization of the modified inverse Rayleigh distribution called the new exponentiated generalized modified inverse Rayleigh distribution is proposed and studied. Various sub-models of the new distribution ...
• Bayesian Inference in a Joint Model for Longitudinal and Time to Event Data with Gompertz Baseline Hazards 

  Josua Mwanyekange; Samuel Mwalili; Oscar Ngesa (Modern Applied Science, 2018)

  Longitudinal and time to event data are frequently encountered in many medical studies. Clinicians are more interested in how longitudinal outcomes influences the time to an event of i nterest. To study the association ...
• Assistance in chronic conflict areas: evidence from South Sudan 

  Marco d’Errico; Oscar Ngesa; Rebecca Pietrelli (2021)

  People living in contexts affected by conflict suffer from many forms of deprivation. Failure in the delivery of assistance can translate into the further deterioration of their conditions. This paper combines a ...
• The Extended Exponential Weibull Distribution: Properties, Inference, and Applications to Real‐Life Data 

  Adam Braima S. Mastor; Oscar Ngesa; Joseph Mung’atu; Nada M. Alfaer; Ahmed Z. Afify (Complexity, 2022-09)

  A novel version of the exponential Weibull distribution known as the extended exponential Weibull (ExEW) distribution is developed and examined using the Lehmann alternative II (LAII) generating technique. 'e new distributions ...
• Gender and Resilience to Climate Variability in Pastoralists Livelihoods System: Two Case Studies in Kenya 

  Nancy Omolo; Paramu Mafongoya; Oscar Ngesa (ournal of Sustainable Development, 2017)

  Recurrent droughts due to climate change has led to vulnerability of the pastoralist communities, leading to loss of assets and food insecurity. Climate change will have different impacts on women and men’s livelihoods. Building ...
• Exponentiated Generalized Power Series Family of Distributions 

  Suleman Nasiru; Peter N. Mwita; Oscar Ngesa (Annals of Data Science, 2018)

  In this paper, a new family of distributions called the exponentiated generalized power series family is proposed and studied. Statistical properties such as stochastic order, quantile function, entropy, mean residual ...
• A Flexible Bayesian Parametric Proportional Hazard Model: Simulation and Applications to Right-Censored Healthcare Data 

  Abdisalam Hassan Muse; Oscar Ngesa; Samuel Mwalili; Huda M. Alshanbari; Abdal-Aziz H. El-Bagoury (Hindawi Journal of Healthcare Engineering, 2022-06)

  Survival analysis is a collection of statistical techniques which examine the time it takes for an event to occur, and it is one of the most important fields in biomedical sciences and other variety of scientific disciplines. ...
• Exponentiated Generalized Transformed-Transformer Family of Distributions 

  Suleman Nasiru; Peter N. Mwita; Oscar Ngesa (Journal of Statistical and Econometric Methods,, 2017)

  Recently, the development of generalized class of distributions has become an issue of interest, to both applied and theoretical statisticians, due to their wider application in different fields of studies. Thus, ...

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