International Journal of Data Science and Analysis

Volume 8, Issue 6, December 2022

  • Modeling the Incidence of Maize Spotted Stem-Borer (Chilo partellus) Infestation Under Long-Term Organic and Conventional Farming Systems

    Wainaina Stephen, Anthony Waititu, Daisy Salifu, Samuel Mwalili, Edward Karanja, Noah Adamtey, Henri Tonnang, Felix Matheri, Edwin Mwangi, David Bautze, Chrysantus Tanga

    Issue: Volume 8, Issue 6, December 2022
    Pages: 169-181
    Received: 7 October 2022
    Accepted: 24 October 2022
    Published: 4 November 2022
    DOI: 10.11648/j.ijdsa.20220806.11
    Abstract: The damage levels of the maize spotted stem borers (Chilo partellus Swinhoe) are estimated at 400,000 metric tons, which is equivalent to 13.5% of farmers' annual maize harvest accounting for US$80 million. Despite the economic importance of the pest, information on the incidence under long-term organic and conventional farming systems is lacking. ... Show More
  • Self-Exciting Threshold Autoregressive Modelling of COVID-19 Confirmed Daily Cases in Nigeria

    Nwakuya Maureen Tobechukwu, Biu Oyinebifun Emmanuel, Benson Tina Ibienebaka

    Issue: Volume 8, Issue 6, December 2022
    Pages: 182-186
    Received: 1 November 2022
    Accepted: 15 November 2022
    Published: 23 November 2022
    DOI: 10.11648/j.ijdsa.20220806.12
    Abstract: This article proposed the modelling of the daily COVID-19 confirmed cases in Nigeria using a Self-Exciting Threshold Autoregressive (SETAR) model. Coronavirus also known as Covid-19 first appeared in Wuhan in December 2019 and quickly spread across the world and became a major phenomenon confronting humanity today. Since the outbreak of COVID-19, s... Show More
  • Logistic Estimation Method in the Presence of Collinearity and It’s Application

    Runyi Emmanuel Francis, Maureen Tobe Nwakuya

    Issue: Volume 8, Issue 6, December 2022
    Pages: 187-193
    Received: 18 November 2022
    Accepted: 6 December 2022
    Published: 15 December 2022
    DOI: 10.11648/j.ijdsa.20220806.13
    Abstract: Regression analysis is a widely used statistical technique in investigating relationships between the response variable and outcome variable. The logistic regression examines the relationship between variables when the response variable has a dichotomous output i.e., has two possible levels and outcome variable which could be categorical or continu... Show More