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Now showing items 1-20 of 48

SEASONAL TIME SERIES FORECASTING: A COMPARATIVE STUDY OF ARIMA AND ANN MODELS

Kihoro, J.M.; Otieno, R.O.; Wafula, C. (2004-12)

This paper addresses the concerns of Faraway and Chatfield (1998) who questioned the forecasting ability of Artificial Neural Networks (ANN). In particular the paper compares the performance of Artificial Neural Networks ...
Students’Perceived Challenges in an Online Collaborative Learning Environment: A Case of Higher Learning Institutions in Nairobi, Kenya

Muuro, Maina Elizaphan; Wagacha, Waiganjo Peter; Oboko, Robert; Kihoro, John (2004-12)

Earlier forms of distance education were characterized by minimal social interaction like correspondence, television, video and radio. However, the World Wide Web (WWW) and online learning introduced the opportunity for ...
SUBCLINICAL NEPHROTOXICITY ASSOCIATED WITH OCCUPATIONAL SILICA EXPOSURE AMONG MALE KENYAN INDUSTRIAL WORKERS

MWANGI, D. M.; NJAGI, L. J.; MCLIGEYO, S. O.; KIHORO, J. M.; NGERANWA, J. J. N.; ORINDA, G. O.; NJAGI, E. N. M. (2009-05)

Objective: To determine early signs of renal injury due to occupational silica exposure. Design: Cross-sectional analytical research. Settings: Kenyatta National Hospital for the referent population and Clayworks ceramics, ...
ORDINAL LOGISTIC REGRESSION VERSUS MULTIPLE BINARY LOGISTIC REGRESSION MODEL FOR PREDICTING STUDENT LOAN ALLOCATION

Muriithi, D. K.; Kihoro, J.; Waititu, A. (The Journal of Agriculture, Science and Technology (JAGST), 2012)

This paper examines two different methodologies to a classification problem of higher education loan applicants. The paper looks into the allocations made by the Higher Education Loans Board (HELB) relative to the economic ...
ORDINAL LOGISTIC REGRESSION VERSUS MULTIPLE BINARY LOGISTIC REGRESSION MODEL FOR PREDICTING STUDENT LOAN ALLOCATION

Muriithi, D. K.; Kihoro, J.; Waititu, A. (2012)

This paper examines two different methodologies to a classification problem of higher education loan applicants. The paper looks into the allocations made by the Higher Education Loans Board (HELB) relative to the economic ...
Analysis of seasonal time series with missing observations

Kihoro, John M. (2012-04-11)

In the past, Kenya's Tourist data has been analysed by among others, Mutiso (1982) who carried out Spectral Analysis to the monthly data for a series covering 10 years (1971-1980). Mutiso came up with general conclusion ...
E-Learning Eco-system for Mobility and Effective Learning: A Case of JKUAT IT Students

KIHORO, John M.; OYIER, Philip A.; KIULA, Boniface M.; WAFULA, Joseph M.; IBUKAH, Rachel W. (2013)

This paper presents the end results of a project conducted to study the effectiveness of e-learning through the use of handheld electronic gadgets. The study utilized an experimental study design in which sampled students ...
FACTORS AFFECTING EFFECTIVE ADOPTION OF E-LEARNING IN KENYAN UNIVERSITIES: THE CASE OF JOMO KENYATTA UNIVERSITY OF AGRICULTURE AND TECHNOLOGY

NGAMAU, KAMAU (2013)

This study aimed to analyse the reasons for the limited success in implementation of eLearning at JKUAT. The study analyzed to what extent individual, organizational and technological or system factors contributed to poor ...
E-Learning Eco-system for Mobility and Effective Learning: A Case of JKUAT IT Students

KIHORO, John M.; OYIER, Philip A.; KIULA, Boniface M.; WAFULA, Joseph M.; IBUKAH, Rachel W. (IIMC International Information Management Corporation, 2013)

This paper presents the end results of a project conducted to study the effectiveness of e-learning through the use of handheld electronic gadgets. The study utilized an experimental study design in which sampled students ...
The Quality of Kenyan University Websites: A Study for the Re-engineering of the Masinde Muliro University Website

Ojino, Ronald Ochieng; Mich, Luisa; Ogao, Patrick; Karume, Simon Maina (Journal of e-learning and knowledge society., 2013-09-22)

With the increasing uptake of websites by universities, competition is no longer limited to physical campuses but has also shifted online, where each university seeks to create a high quality website. Online promotion and ...
THE POWER OF LIKELIHOOD RATIO TEST FOR A CHANGE ‐POINT IN BINOMIAL DISTRIBUTION

Mundia, S.M.; Gichuhi, A.W.; Kihoro, J.M (The Journal of Agriculture, Science and Technology (JAGST), 2014)

Statistically, change point is the location or the time point such that observations follow one distribution up to the point and then another afterwards. Change point problems are encountered in our daily life and in ...
Forecasting Precipitation Using SARIMA Model: A Case Study of Mt. Kenya Region

Kibunja, Hellen W.; Kihoro, John M.; Orwa, George O.; Yodah, Walter O. (IISTE, 2014)

Precipitation estimates are an important component of water resources applications, example, in designing drainage system and irrigation. The amount of rainfall in Kenya fluctuates from year to year causing it to be very ...
Students’Perceived Challenges in an Online Collaborative Learning Environment

Muuro, Maina Elizaphan; Wagacha, Waiganjo Peter; Oboko, Robert; Kihoro, John (IRRODL, 2014-12)

Earlier forms of distance education were characterized by minimal social interaction like correspondence, television, video and radio. However, the World Wide Web (WWW) and online learning introduced the opportunity for ...
Modeling Volatility in the Gambian Exchange Rates: An ARMA-GARCH Approach

Marreh, Sambujang; Olubusoye, Olusanya E.; Kihoro, John M. (International Journal of Economics and Finance;, 2015-09)

This paper models the exchange rate volatility in the Gambian foreign exchange rates data. Financial time series models that combined autoregressive moving average (ARMA) and generalized conditional heteroscedasticity ...
Applying Variant Variable Regularized Logistic Regression for Modeling Software Defect Predictor

Kofi Armah, Gabriel; Luo, Guanchun; Ke Qin; Shem Mbandu, Angolo (The Co-operative University of Kenya, 2016)

Empirical studies on software defect prediction models have come up with various predictors. In this study we examined variable regularized factors in conjunction with Logistic regression. Our work was built on eight ...
Recursive Relation for Zero In ated Poisson Mixture Distributions

Anyango, Cynthia L.; Otumba, Edgar; Kihoro, John M. (Applied Mathematical Sciences, 2017)

The paper extends the work of Sarguta who derived recursive re- lations for univariate distributions by considering the ZIP continuous mixtures. The paper gives a recursive formular which can be used to evaluate the ...
Zero Inflated Poisson Mixture Distributions

Anyango, Cynthia L.; Otumba, Edgar; Kihoro, John M. (Applied Mathematical Sciences, 2017)

This paper presents a method of constructing the Zero in ated Pois- son continuous mixture distributions which have applications in various fields. The distributions can be formed by either direct integration or integration ...
CLUSTER ANALYSIS WITH WEIGHTED BINARY VARIABLES

Kamundi1, M. K.; Kihoro, J. M.; Mwalili, S. M.; Kiula, B. (2017)

The objective of this study was to discover unique groupings/clusters resulting from performing cluster analysis with weighted binary variables and with binary proximity measures. Cluster analysis techniques were applied ...
Factors that Influence the Choice of Virtualized Environments in Small Medium Enterprises

Motochi, Vincent; Angolo Mbandu, Shem; Mbugua, Samuel (The Co-operative University of Kenya, 2017)

Virtualization is an emerging technology in the recent computing worlds and has become a platform for the implementation of utility computing (e.g. cloud computing) and the rising Virtual Private Networks. It helps to ...
Digital Forensic Readiness in Organizations: Issues and Challenges.

Karie, Nickson M; Karume, Simon M (Proquest, 2017)

With the evolution in digital technologies, organizations have been forced to change the way they plan, develop, and enact their information technology strategies. This is because modern digital technologies do not only ...

Now showing items 1-20 of 48

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