International Journal of Statistics and Applications

International Journal of Statistics and Applications is a fully refereed international journal, which publishes original research papers and survey articles in all areas of statistics and applications. It is a broad based journal covering all branches of statistical sciences and their applications in medical, agricultural, econometric, physical or social sciences and industry, commerce and government and other scientific disciplines.


ICV 2015: 75.12; ICV 2016: 83.70 h5-index: 7, h5-median: 8
(Based on Google Scholar Metrics(June 2017))

Editor-in-chief: Rosaria Lombardo
p-ISSN: 2168-5193
e-ISSN: 2168-5215

Website: http://journal.sapub.org/statistics




International Journal of Statistics and Applications

Latest Issue: Volume 15, Number 1 (2025)
Skip Navigation Links.
Collapse &nbsp;<u>2025</u> 2025
Expand &nbsp;<u>2024</u> 2024
Expand &nbsp;<u>2023</u> 2023
Expand &nbsp;<u>2022</u> 2022
Expand &nbsp;<u>2021</u> 2021
Expand &nbsp;<u>2020</u> 2020
Expand &nbsp;<u>2019</u> 2019
Expand &nbsp;<u>2018</u> 2018
Expand &nbsp;<u>2017</u> 2017
Expand &nbsp;<u>2016</u> 2016
Expand &nbsp;<u>2015</u> 2015
Expand &nbsp;<u>2014</u> 2014
Expand &nbsp;<u>2013</u> 2013
Expand &nbsp;<u>2012</u> 2012
Expand &nbsp;<u>2011</u> 2011
  • Articles
An Improved Warner’s Randomized Response Model
F. B. Adebola, O. O. Johnson
pp. 263-267
DOI: 10.5923/j.statistics.20150506.01   6496 Views  1723 Downloads
This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.
  Abstract   References   Full-Text PDF   Full-Text HTML
Estimation of Proportion of a Trait by Batch Testing with Errors in Inspection in a Quality Control Process
Ronald W. Wanyonyi, Kennedy L. Nyongesa, Adu Wasike
pp. 268-278
DOI: 10.5923/j.statistics.20150506.02   2496 Views  1527 Downloads
This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.
  Abstract   References   Full-Text PDF   Full-Text HTML
Modelling and Forecasting Teledensity Using Univariate Time Series Models: Evidence from Nigeria
Asemota O. J., Ogujiuba K. K., Aderemi T. A., Mustapha S. A.
pp. 279-287
DOI: 10.5923/j.statistics.20150506.03   4426 Views  2337 Downloads
This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.
  Abstract   References   Full-Text PDF   Full-Text HTML
Volatility Assessment of Equities on the Ghana Stock Exchange
Maxwell A. Boateng, A. Y. Omari-Sasu, Nana K. Frempong
pp. 288-292
DOI: 10.5923/j.statistics.20150506.04   3236 Views  2478 Downloads
This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.
  Abstract   References   Full-Text PDF   Full-Text HTML
Estimation of Missing Values for Pure Bilinear Time Series Models with Student-t Innovations
Poti Abaja Owili, Luke Orawo, Dankit Nassiuma
pp. 293-301
DOI: 10.5923/j.statistics.20150506.05   2843 Views  1482 Downloads
This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.
  Abstract   References   Full-Text PDF   Full-Text HTML
Reliability Analysis Using the Generalized Quadratic Hazard Rate Truncated Poisson Maximum Distribution
M. A. El-Damcese, Dina A. Ramadan
pp. 302-316
DOI: 10.5923/j.statistics.20150506.06   3743 Views  2615 Downloads
This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.
  Abstract   References   Full-Text PDF   Full-Text HTML
Comparison of Forescasting Methods for Interval-Valued Time Series
Ebrucan Islamoglu, Alı Islamoglu, Hasan Bulut
pp. 317-337
DOI: 10.5923/j.statistics.20150506.07   3111 Views  1375 Downloads
This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.
  Abstract   References   Full-Text PDF   Full-Text HTML
Shanker Distribution and Its Applications
Rama Shanker
pp. 338-348
DOI: 10.5923/j.statistics.20150506.08   11711 Views  3556 Downloads
This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.
  Abstract   References   Full-Text PDF   Full-Text HTML