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Journal Cover   International Journal of Advanced Statistics and Probability
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  This is an Open Access Journal Open Access journal
   ISSN (Print) 2307-9045 - ISSN (Online) 2307-9045
   Published by Science Publishing Corporation Homepage  [12 journals]
  • An approach to measuring rotatability in central composite designs

    • Authors: Emmanuel Ohaegbulem, Polycarp Chigbu
      Pages: 126 - 131
      Abstract: An approach to measure design rotatability and a measure, that quantifies the percentage of rotatability (from 0 to 100) in the central composite designs are introduced. This new approach is quite different from the ones provided by previous authors which assessed design rotatability by the viewing of tediously obtained contour diagrams. This new approach has not practical limitations, and the measure is very easy to compute. Some examples were used to express this approach.
      PubDate: 2015-05-31
      Issue No: Vol. 3, No. 2 (2015)
  • A reliability assessment of the age-sex data from 1991 and 2006 Nigeria
           population censuses

    • Authors: Emmanuel Ohaegbulem
      Pages: 132 - 137
      Abstract: This study assessed the quality of the age-sex data from 1991 and 2006 Nigeria population censuses using some conventional techniques of evaluating demographic data quality. Whipple and Myers indices were used to determine the extent of digit preference for the age-sex data presented in single years. There were very obvious preference for ages with end-digits 0 and 5 while other end-digits were avoided in the two censuses; and this was more pronounced with the females than males. From 1991 census to 2006 census, the Whipple index for both sexes declined from 294 to 251, while the Myers index declined from 60.8 to 49.9; indications of deficiencies in the Nigeria censuses data. The Joint scores computed for the five-year abridged distribution of the age-sex data yielded 54.83 and 38.52 for the 1991 and 2006 censuses, respectively. This showed that the data are poor in quality and not completely reliable as a result of misreporting. The 29.7% decline in Joint score from 1991 census to 2006 census was an indication of a modest improvement in quality over than fifteen years interval, even as the 2006 age-sex data are usable with adjustment.
      PubDate: 2015-05-31
      Issue No: Vol. 3, No. 2 (2015)
  • Analysis of quantile regression as alternative to ordinary least squares

    • Authors: Ibrahim Abdullahi, Abubakar Yahaya
      Pages: 138 - 145
      Abstract: In this article, an alternative to ordinary least squares (OLS) regression based on analytical solution in the Statgraphics software is considered, and this alternative is no other than quantile regression (QR) model. We also present goodness of fit statistic as well as approximate distributions of the associated test statistics for the parameters. Furthermore, we suggest a goodness of fit statistic called the least absolute deviation (LAD) coefficient of determination. The procedure is well presented, illustrated and validated by a numerical example based on publicly available dataset on fuel consumption in miles per gallon in highway driving.
      PubDate: 2015-06-15
      Issue No: Vol. 3, No. 2 (2015)
  • The complementary Poisson-Lindley class of distributions

    • Authors: Amal Hassan, Salwa Assar, Kareem Ali
      Pages: 146 - 160
      Abstract: This paper proposed a new general class of continuous lifetime distributions, which is a complementary to the Poisson-Lindley family proposed by Asgharzadeh et al. [3]. The new class is derived by compounding the maximum of a random number of independent and identically continuous distributed random variables, and Poisson-Lindley distribution. Several properties of the proposed class are discussed, including a formal proof of probability density, cumulative distribution, and reliability and hazard rate functions. The unknown parameters are estimated by the maximum likelihood method and the Fisher’s information matrix elements are determined. Some sub-models of this class are investigated and studied in some details. Finally, a real data set is analyzed to illustrate the performance of new distributions.
      PubDate: 2015-06-29
      Issue No: Vol. 3, No. 2 (2015)
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