Finite population total estimation with measurement errors

Simple item page
dc.contributor.authorTinega, Richard
dc.date.accessioned2021-05-07T14:15:58Z
dc.date.available2021-05-07T14:15:58Z
dc.date.issued2019-08
dc.descriptionPaper presented at the 5th Strathmore International Mathematics Conference (SIMC 2019), 12 - 16 August 2019, Strathmore University, Nairobi, Kenyaen_US
dc.description.abstractWe 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.en_US
dc.description.sponsorshipKisii University, Kenya.en_US
dc.identifier.urihttp://hdl.handle.net/11071/10479
dc.language.isoen_USen_US
dc.publisherStrathmore Universityen_US
dc.subjectMeasurement Errorsen_US
dc.subjectLinear Regressionen_US
dc.subjectFinite Populationen_US
dc.subjectVarianceen_US
dc.titleFinite population total estimation with measurement errorsen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Finite population total estimation with measurement errors.pdf
Size:
88.99 KB
Format:
Adobe Portable Document Format
Description:
Abstract - SIMC Conference paper, 2019
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
SIMC 2019