American Journal of Theoretical and Applied Statistics

Volume 8, Issue 5, September 2019

  • Adaptive Partially Linear Regression Models by Mixing Different Estimates

    Magda Mohamed Mohamed Haggag

    Issue: Volume 8, Issue 5, September 2019
    Pages: 157-168
    Received: 24 June 2019
    Accepted: 26 July 2019
    Published: 4 September 2019
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    Abstract: This paper proposes adapting the semiparametric partial model (PLM) by mixing different estimation procedures defined under different conditions. Choosing an estimation method of PLM, from several estimation methods, is an important issue, which depends on the performance of the method and the properties of the resulting estimators. Practically, it... Show More
  • A Comparison of Count Regression Models on Modeling of Instructors Publication Factors: Application of Ethiopian Public Universities

    Alebachew Abebe

    Issue: Volume 8, Issue 5, September 2019
    Pages: 169-178
    Received: 10 July 2019
    Accepted: 5 August 2019
    Published: 23 September 2019
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    Abstract: Instructors’ publication (IP) is one of a major activity in higher education institutes. Currently, IP faced problem both high prevalence and severity in Ethiopian public universities. Publication was affected approximately around 352 (73.9%) instructors have not done publication in Ethiopian public universities even if there is a problem in both d... Show More
  • Modelling Geometric Measure of Variation About the Population Mean

    Troon John Benedict, Karanjah Anthony, Alilah Anekeya David

    Issue: Volume 8, Issue 5, September 2019
    Pages: 179-184
    Received: 17 September 2019
    Accepted: 28 September 2019
    Published: 12 October 2019
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    Abstract: Measures of dispersion are important statistical tool used to illustrate the distribution of datasets. These measures have allowed researchers to define the distribution of various datasets especially the measures of dispersion from the mean. Researchers and mathematicians have been able to develop measures of dispersion from the mean such as mean ... Show More
  • Analysis of Penalized Regression Methods in a Simple Linear Model on the High-Dimensional Data

    Zari Farhadi Zari Farhadi, Reza Arabi Belaghi, Ozlem Gurunlu Alma

    Issue: Volume 8, Issue 5, September 2019
    Pages: 185-192
    Received: 29 June 2019
    Accepted: 3 September 2019
    Published: 16 October 2019
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    Abstract: Shrinkage methods for linear regression were developed over the last ten years to reduce the weakness of ordinary least squares (OLS) regression with respect to prediction accuracy. And, high dimensional data are quickly growing in many areas due to the development of technological advances which helps collect data with a large number of variables.... Show More