Maseno Institutional Repository (IR) is a digital service that collects, preserves, and distributes digital material. Repositories are important tools for preserving an organization's legacy; they facilitate digital preservation and scholarly communication.
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Establishment of Higher Terrestrial Plants and Animal Species Found in Matayos Division of Busia County, Kenya
(IJRISS, 2019-03)In order to successfully achieve terrestrial biodiversity protection and conservation, more information is needed about the variety of plants and animal species existing in the ecosphere. Although biodiversity constitute ... -
Conservation of Terrestrial Flora and Fauna in Rachuonyo South, Kenya: A Focus on Effects of Hunting and Gathering
(IJRISS, 2023-09-01)Terrestrial flora and fauna species are at the brink of disappearance yearly due to increase in human population. Yearly, the extinction rate of these species are 25% and 34% globally and 69% and 68% in Kenya. However, ... -
The Effect of Rainfall Duration on Maize, Beans and African Nightshade Production in Nyando SubCounty of Kisumu County, Kenya
(International Journal of Innovative Science and Research Technology, 2023-07-07)At the backdrop of the on-going variability in rainfall, this research used a quasi-longitudinal research design to assess the effect of rainfall duration on beans, maize and African nightshade production in Nyando sub-County, ... -
On (P, Q)-Binomial Extension of Cox-Ross-Rubinstein Model in Skorohod Spaces.
(International Journal of Open Problems in Computer Science & Mathematics, 2023-12-01)In this paper, we develope a (pq)-binomial extension of the Cox-Ross-Rubinstein (CRR) model thereby enhancing its ap plicability in optimizing life insurance portfolios amidst noisy observations. We utilize mathematical ... -
Portfolio optimization for extended (p, q) –binomial cox –ross- rubinstein model
(SSAR Publishers, 2024-03-11)In this paper, we focus on establishing optimization conditions for the extended binomial Cox-Ross-Rubinstein (CRR)model, particularly in the context of managing portfolios in life insurance under varying noise conditions. ...