<?xml version="1.0" encoding="UTF-8"?>
<records>
<record>
<language>eng</language>
<publisher>Science and Education Publishing</publisher>
<journalTitle>American Journal of Applied Mathematics and Statistics</journalTitle>
<eissn>2333-4576</eissn>
<publicationDate>2014-05-22</publicationDate>
<volume>2</volume>
<issue>3</issue>
<startPage>163</startPage>
<endPage>167</endPage>
<doi>10.12691/ajams-2-3-12</doi>
<publisherRecordId>AJAMS20142312</publisherRecordId>
<documentType>article</documentType>
<title language="eng">Estimation of Population Total in the Presence of Missing Values Using a Modified Murthy's Estimator and the Weight Adjustment Technique</title>
<authors>
<author>
<name>Oyoo David Odhiambo</name>
<affiliationId>1</affiliationId>
</author>
<author>
<name>Christopher Ouma Onyango</name>
<email>chrisouma2004@yahoo.co.uk</email>
<affiliationId>1</affiliationId>
</author>

</authors>
<affiliationsList>
<affiliationName affiliationId="1">Department of Statistics and Actuarial Science, Kenyatta University-Kenya</affiliationName>

</affiliationsList>
<abstract language="eng">Use of Murthy's method in estimation of population parameters, such as population totals, population means, and population variances has been limited to surveys where survey data values are complete. This study applies weight adjustment technique to estimate a population total under simple random sampling without replacement. The asymptotic properties show that the estimated population total is sufficient for the true population total. The proposed estimator is obtained by symmetrizing Murthy's estimator.</abstract>
<fullTextUrl format="pdf">http://pubs.sciepub.com/ajams/2/3/12/ajams-2-3-12.pdf</fullTextUrl>
<keywords language="eng"><keyword>Murthy's estimator</keyword>
<keyword>missing values</keyword>
<keyword>weight adjustment</keyword>
</keywords>
</record>
</records>
