American Journal of Theoretical and Applied Statistics

Volume 10, Issue 6, November 2021

  • Fitting Wind Speed to a Probability Distribution Using Minimum Distance Estimation Technique

    Otieno Okumu Kevin, John Matuya, Muthiga Nganga

    Issue: Volume 10, Issue 6, November 2021
    Pages: 226-232
    Received: 10 March 2021
    Accepted: 22 March 2021
    Published: 10 November 2021
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    Abstract: From the past studies, we realized that minimum distance estimation technique is not commonly used for fitting wind speed data to a distribution yet it is believed to the best alternative for Maximum Likelihood Estimation (MLE) method which is known to give good estimates than Least Square Estimates (LSE) and Method of Moments (MOM). To achieve thi... Show More
  • Modeling of Survival of HIV Patients by Stages of Immune Suppression and Opportunisic Infections

    Edidiong Michael Udofia, Edith Uzoma Umeh, Chrisogonus Kelechi Onyekwere

    Issue: Volume 10, Issue 6, November 2021
    Pages: 233-242
    Received: 21 July 2021
    Accepted: 4 August 2021
    Published: 12 November 2021
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    Abstract: Globally, there are many people living with Human Immune Deficiency Virus (HIV), and the rate increases every day. Research has shown that Nigeria is the second largest country with HIV epidemic, as many are living with advanced HIV. People with advanced stage of HIV infection are vulnerable to secondary infections and malignancies, generally terme... Show More
  • On the Performance of a Class of Generalized Linear Mixed Model on Some Psychiatric Patients' Data

    Omobolaji Yusuf Halid, Samuel Oluwaseun Adejuwon, Vincent Gbenga Jemilohun

    Issue: Volume 10, Issue 6, November 2021
    Pages: 243-248
    Received: 13 September 2021
    Accepted: 5 October 2021
    Published: 27 November 2021
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    Abstract: A generalized linear mixed model (GLMM) is an extension to the generalized linear mixed (GLM) in which the linear predictor contains random effects in addition to the usual fixed effects. They also inherit from GLMs the idea of extending linear mixed models to non-normal data. There are several applications of various types of generalized linear mi... Show More
  • Diagnostic Analysis of Weather Variables for Forecasting Rainfall Patterns in Kenya Using Bayesian Vector Autoregressive Model

    Gitonga Harun Mwangi, Joseph Koske, Mathew Kosgei

    Issue: Volume 10, Issue 6, November 2021
    Pages: 249-256
    Received: 15 October 2021
    Accepted: 5 November 2021
    Published: 9 December 2021
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    Abstract: Time series has fundamental importance in various practical domains in the world, more so in modeling and forecasting. Many important models have been proposed to improve the accuracy of their prediction. Global warming has been a big challenge to the world in affecting economic and Agricultural activities. It causes drastic weather changes, which ... Show More
  • On Approximation of Copulas, Solution of Elliptic Problem, Using the Finite Difference Method: Generalization

    Remi Guillaume Bagré, Frédéric Béré, Kpèbbèwèrè Cédric Somé, Paliguiwindé Dieudonné Ibrango

    Issue: Volume 10, Issue 6, November 2021
    Pages: 257-261
    Received: 26 October 2021
    Accepted: 26 November 2021
    Published: 9 December 2021
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    Abstract: In this paper, we generalize a copula construction method discussed in one of our papers. For this purpose we consider the general form of a linear elliptic PDE. Indeed, a physical interpretation of elliptic equations comes from the notion of conservative flow given by a gradient. This notion provides a mathematical model for equilibrium conservati... Show More