International Journal of Statistical Distributions and Applications

Volume 5, Issue 1, March 2019

  • Characterizations of Marshall-Olkin Discrete Reduced Modified Weibull Distribution

    Gholamhossein G. Hamedani

    Issue: Volume 5, Issue 1, March 2019
    Pages: 1-4
    Received: 29 August 2018
    Accepted: 22 April 2019
    Published: 20 May 2019
    Abstract: Characterizing a distribution is an important problem in applied sciences, where an investigator is vitally interested to know if their model follows the right distribution. To this end, the investigator relies on conditions under which their model would follow specifically chosen distribution. Certain characterizations of the Marshall-Olkin discre... Show More
  • Estimation of Response Propensities Using the Previous Survey

    Miika Honkala

    Issue: Volume 5, Issue 1, March 2019
    Pages: 5-9
    Received: 13 April 2019
    Accepted: 10 May 2019
    Published: 4 June 2019
    Abstract: Many surveys are carried out yearly, and the implementation of the surveys remains the same from year to year. Experience from a previous survey is useful when planning a new survey, because the response behavior usually remains quite the same in subsequent years. This paper studies how response propensities, estimated using the dataset of the prev... Show More
  • Fitting the Ehrenberg’s Law-Like Equation Using the Age, Weight and Height of Secondary School Students

    Nwagwu Chibuikem Chrysogonus, Nduka Ethelbert Chinaka, Ogoke Uchenna Petronilla

    Issue: Volume 5, Issue 1, March 2019
    Pages: 10-14
    Received: 4 April 2019
    Accepted: 21 May 2019
    Published: 5 June 2019
    Abstract: The Ehrenberg’s law like equation is deemed to fit (within minor error) universally among children aged 11 – 17. This paper adopts this equation to confirm or deny the universal applicability based on selected schools in South-South region in Nigeria which is believed to be environmentally degraded. Data on Age, Sex and anthropometric measures (wei... Show More
  • Spatial Cumulative Probit Model: An Application to Poverty Classification and Mapping

    Richard Puurbalanta

    Issue: Volume 5, Issue 1, March 2019
    Pages: 15-21
    Received: 12 October 2018
    Accepted: 7 November 2018
    Published: 11 June 2019
    Abstract: Previous studies on household poverty classification have commonly dichotomized the dependent variable into non-poor or poor, and used binary models. This way, the most extreme categories of poverty, which are usually the main targets of interventions, are not identified. Moreover, expenditure data used to describe poverty is typically collected at... Show More