This study investigates the effects of response errors on population parameters obtained by double sampling for stratification at the interview and data processing level. Simulation study is carried out to investigate the effects of the response errors on these estimates. Finite population is generated using R-statistical package and study variables are investigated in the presence and absence of errors. The results obtained are compared. It is observed that, in the presence of response errors on the estimates results in underestimation of the population parameters.
Published in | Science Journal of Applied Mathematics and Statistics (Volume 3, Issue 2) |
DOI | 10.11648/j.sjams.20150302.11 |
Page(s) | 27-32 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2015. Published by Science Publishing Group |
Response Errors, Double Sampling for Stratification, Error Proportion
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APA Style
David Anekeya Alilah, Robert Keli, Harun Makwata, James Kahiri, Leo O. Odongo. (2015). Effects of Response Errors on Population Parameters in Double Sampling for Stratification. Science Journal of Applied Mathematics and Statistics, 3(2), 27-32. https://doi.org/10.11648/j.sjams.20150302.11
ACS Style
David Anekeya Alilah; Robert Keli; Harun Makwata; James Kahiri; Leo O. Odongo. Effects of Response Errors on Population Parameters in Double Sampling for Stratification. Sci. J. Appl. Math. Stat. 2015, 3(2), 27-32. doi: 10.11648/j.sjams.20150302.11
AMA Style
David Anekeya Alilah, Robert Keli, Harun Makwata, James Kahiri, Leo O. Odongo. Effects of Response Errors on Population Parameters in Double Sampling for Stratification. Sci J Appl Math Stat. 2015;3(2):27-32. doi: 10.11648/j.sjams.20150302.11
@article{10.11648/j.sjams.20150302.11, author = {David Anekeya Alilah and Robert Keli and Harun Makwata and James Kahiri and Leo O. Odongo}, title = {Effects of Response Errors on Population Parameters in Double Sampling for Stratification}, journal = {Science Journal of Applied Mathematics and Statistics}, volume = {3}, number = {2}, pages = {27-32}, doi = {10.11648/j.sjams.20150302.11}, url = {https://doi.org/10.11648/j.sjams.20150302.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20150302.11}, abstract = {This study investigates the effects of response errors on population parameters obtained by double sampling for stratification at the interview and data processing level. Simulation study is carried out to investigate the effects of the response errors on these estimates. Finite population is generated using R-statistical package and study variables are investigated in the presence and absence of errors. The results obtained are compared. It is observed that, in the presence of response errors on the estimates results in underestimation of the population parameters.}, year = {2015} }
TY - JOUR T1 - Effects of Response Errors on Population Parameters in Double Sampling for Stratification AU - David Anekeya Alilah AU - Robert Keli AU - Harun Makwata AU - James Kahiri AU - Leo O. Odongo Y1 - 2015/03/02 PY - 2015 N1 - https://doi.org/10.11648/j.sjams.20150302.11 DO - 10.11648/j.sjams.20150302.11 T2 - Science Journal of Applied Mathematics and Statistics JF - Science Journal of Applied Mathematics and Statistics JO - Science Journal of Applied Mathematics and Statistics SP - 27 EP - 32 PB - Science Publishing Group SN - 2376-9513 UR - https://doi.org/10.11648/j.sjams.20150302.11 AB - This study investigates the effects of response errors on population parameters obtained by double sampling for stratification at the interview and data processing level. Simulation study is carried out to investigate the effects of the response errors on these estimates. Finite population is generated using R-statistical package and study variables are investigated in the presence and absence of errors. The results obtained are compared. It is observed that, in the presence of response errors on the estimates results in underestimation of the population parameters. VL - 3 IS - 2 ER -