American Journal of Theoretical and Applied Statistics

Volume 10, Issue 2, March 2021

  • On Order and Regime Determination of SETAR Model in Modelling Nonlinear Stationary Time Series Data Structure: Application to Lafia Rainfall Data, Nasarawa State, Nigeria

    Nicholas Pindar Dibal, Akeyede Imam, Mustafa Babagana Abubakar

    Issue: Volume 10, Issue 2, March 2021
    Pages: 89-98
    Received: 9 January 2021
    Accepted: 16 January 2021
    Published: 3 March 2021
    Abstract: The linear time series model refers to the class of models for which fixed correlation parameters can fully explain the dependency between two random variables, but many real-life circumstances, such as monthly unemployment results, supplies and demands, interest rate, exchange rate, share prices, rainfall, etc., violate the assumption of linearity... Show More
  • Modelling Predictors of Weight Gain of Children Under-Five

    Hussein Salifu, Nyemekye Gabriel, Isaac Zingure

    Issue: Volume 10, Issue 2, March 2021
    Pages: 99-110
    Received: 15 February 2021
    Accepted: 1 March 2021
    Published: 17 March 2021
    Abstract: This study examined the determinants of weight gain by children less than five years in the Kintampo municipality of the Bono East Region of Ghana using multivariate analysis of variance (MANOVA) procedure and profile analysis. The study revealed that the minimum weight gain at the first month for males and females are 1.8kg and 1.6kg respectively ... Show More
  • Poisson Ridge Regression Estimators: A Performance Test

    Etaga Harrison Oghenekevwe, Aforka Kenechukwu Florence, Awopeju Kabiru Abidemi, Etaga Njideka Cecilia

    Issue: Volume 10, Issue 2, March 2021
    Pages: 111-121
    Received: 27 February 2021
    Accepted: 15 March 2021
    Published: 30 March 2021
    Abstract: In Multiple regression analysis, it is assumed that the independent variables are uncorrelated with one another, when such happen, the problem of multicollinearity occurs. Multicollinearity can create inaccurate estimates of the regression coefficients, inflate the standard errors of the regression coefficients, deflate the partial t-tests for the ... Show More
  • Bayesian Hierarchical Estimation and Impact Analysis of Generalized Production Functions

    Xinping Yang, Wei Zheng, Yunyuan Yang, Yanmei Li

    Issue: Volume 10, Issue 2, March 2021
    Pages: 122-128
    Received: 19 March 2021
    Accepted: 30 March 2021
    Published: 12 April 2021
    Abstract: Bayesian model is constructed to estimate the missing data of capital stock, and the impact of three industrial structures on the tertiary industry is discussed. The results show that: the maximum MC error with missing data on capital stock estimated by Bayesian is 0.4963, the maximum MC error of production function estimated by Bayesian stratation... Show More
  • Waiting Time Before Justice in the Law Sector: A QUEUEING Theory

    Etaga Harrison Oghenekevwe, Chikwendu Peace, Awopeju Kabiru Abidemi, Aforka Kenechukwu Florence, Etaga Njideka Cecilia

    Issue: Volume 10, Issue 2, March 2021
    Pages: 129-135
    Received: 15 March 2021
    Accepted: 9 April 2021
    Published: 16 April 2021
    Abstract: The legal system in Nigeria is be-deviled with delayed justice which has become a source of concern to many person. This is very much peculiar to those who feel that the judiciary is too slow in resolving legal issues in Nigeria. In Nigeria, there abound court cases especially those of criminal dimensions that have ongoing for years now without rea... Show More