International Journal of Data Science and Analysis

Volume 5, Issue 5, October 2019

  • Effect of Re-entry Policy Implementation on Readmitted Girls’ Academic Performance in Mathematics in Selected Secondary Schools of Mufulira District in Zambia

    Nsalamba Gladys, Simpande Alex

    Issue: Volume 5, Issue 5, October 2019
    Pages: 73-85
    Received: Jul. 13, 2019
    Accepted: Aug. 22, 2019
    Published: Oct. 05, 2019
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    Abstract: Zambia is one of the countries in the Sub-Sahara Africa that has an established Re-Entry Policy. The policy was declared in 1997 and allows pregnant school girls to go to school. The aim is to create academically healthy learning institutions in which both girls and boys are free. As per findings of this research, the Re-Entry Policy has helped red... Show More
  • Joint Survival Model of CD4 Outcome for HIV/TB Coinfected: Data from Kenya AIDS Indicator Survey

    Bernadette Ikandi, Samuel Musili Mwalili, Anthony Wanjoya

    Issue: Volume 5, Issue 5, October 2019
    Pages: 86-91
    Received: Sep. 24, 2019
    Accepted: Oct. 22, 2019
    Published: Oct. 28, 2019
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    Abstract: HIV infection leads to immune deficiency, increasing the risk of TB in people with HIV. HIV/TB co-infection increases the risk of death from TB or other opportunist infections. CD4 cell counts (cells/mm3) along with viral load are measures of treatment failure. This study purposed to apply shared frailty model in analyzing the survival and hazard r... Show More
  • Valuation of European Call Options Using Wavelet-Based Pricing Model and Black-Scholes Pricing Model

    Sigei Sheila Chepkorir, Anthony Gichuhi Waititu, Jane Aduda Akinyi

    Issue: Volume 5, Issue 5, October 2019
    Pages: 92-98
    Received: Oct. 02, 2019
    Accepted: Oct. 12, 2019
    Published: Oct. 28, 2019
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    Abstract: The Black- Scholes model is a well-known model for hedging and pricing derivative securities. However, it exhibits some systematic biases or unrealistic assumptions like the log-normality of asset returns and constant volatility. A number of studies have attempted to reduce these biases in different ways. The objective of this study is to value a E... Show More
  • Penalized Poisson Regression Model Using Elastic Net and Least Absolute Shrinkage and Selection Operator (Lasso) Penality

    Josephine Mwikali, Samuel Mwalili, Anthony Wanjoya

    Issue: Volume 5, Issue 5, October 2019
    Pages: 99-103
    Received: Oct. 05, 2019
    Accepted: Oct. 22, 2019
    Published: Oct. 29, 2019
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    Abstract: Variable selection in count data using Penalized Poisson regression is one of the challenges in applying Poisson regression model when the explanatory variables are correlated. To tackle both estimate the coefficients and perform variable selection simultaneously, Lasso penalty was successfully applied in Poisson regression. However, Lasso has two ... Show More
  • Bayesian Finite Mixture Negative Binomial Model for Over-dispersed Count Data with Application to DMFT Index Data

    Kipngetich Gideon, Anthony Wanjoya, Samuel Mwalili

    Issue: Volume 5, Issue 5, October 2019
    Pages: 104-110
    Received: Oct. 08, 2019
    Accepted: Oct. 23, 2019
    Published: Oct. 30, 2019
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    Abstract: To establish viable statistical model for modelling and analyzing DMFT index data which is important in oral health studies, difficulty arise when DMFT index data is characterized by over-dispersion. Over-dispersion caused by unobserved heterogeneity in the data pose a problem in fitting more common models to this data. and failure to account on su... Show More