dc.contributor.author |
MASOOD, SAADIA |
|
dc.date.accessioned |
2017-12-12T04:02:39Z |
|
dc.date.accessioned |
2020-04-14T19:23:11Z |
|
dc.date.available |
2020-04-14T19:23:11Z |
|
dc.date.issued |
2014 |
|
dc.identifier.uri |
http://142.54.178.187:9060/xmlui/handle/123456789/7278 |
|
dc.description.abstract |
This dissertation is one of the steps towards the area of estimation of population variance
using multi-auxiliary variables under multi-phase sampling scheme. This work mainly
considers full, incomplete and no information cases about the auxiliary variables. The
importance of estimation of finite population variance under multi-phase sampling along
with some previously proposed estimators are discussed in Chapter 1. In Chapters 2 and
3, some ratio-type and regression-type variance estimators for estimation of population
variance using multi-auxiliary variables for single interest variable are proposed. To the
solution of multi-purpose surveys, few generalized multi-variate ratio-type and
regression-type variance estimators are discussed in Chapters 4 and 5 respectively.
Chapters 6 and 7 highlight the solution to the problem when multi-attributes is to be dealt
for the estimation of population variance under multi-phase sampling. The measurement
error in variable of interest is taken into account in Chapters 8 and 9 for the same
estimators proposed in Chapters 2 and 3. The expressions for minimum mean square
error for all proposed estimators are also derived. Some real data sets are used for
efficiency comparison. |
en_US |
dc.description.sponsorship |
Higher Education Commission, Pakistan. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Quaid-i-Azam University Islamabad, Pakistan |
en_US |
dc.subject |
Natural Sciences |
en_US |
dc.title |
VARIANCE ESTIMATION IN SAMPLING THEORY USING MULTI-AUXILIARY VARIABLES |
en_US |
dc.type |
Thesis |
en_US |