Finite population total estimation with measurement errors
Date
2019-08
Authors
Tinega, Richard
Journal Title
Journal ISSN
Volume Title
Publisher
Strathmore University
Abstract
We consider measurement errors on linear regression estimates of the finite
population total. A general case of the linear regression estimates with unbiased
measurement errors where the effect of biases on the simple and correlated
response variances is analyzed. A simulation study to investigate the effect of these
biases on the variance of the finite population total is done. From the results, the
variance of the finite population total increases as the proportion of the systematic
errors increase.
Description
Paper presented at the 5th Strathmore International Mathematics Conference (SIMC 2019), 12 - 16 August 2019, Strathmore University, Nairobi, Kenya
Keywords
Measurement Errors, Linear Regression, Finite Population, Variance