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Prediction approach estimator using auxiliary information under two-phase sampling

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Title Prediction approach estimator using auxiliary information under two-phase sampling
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Creator Nitin Varshney
Tauqueer Ahmad
Anil Rai
Ankur Biswas
Prachi Misra Sahoo
 
Subject Two-phase sampling
Auxiliary information
Prediction approach
 
Description Not Available
Sample survey is a cost effective mean to collect reliable information about a finite population. There are various sampling methodologies, among them two-phase sampling is generally used for estimating population mean or total under the two different situations. First, when the information of the auxiliary variable is not readily available and the other condition is when it is vey expensive to gather information on characteristic under study y, but it is comparatively cheaper to gather information on the variables which are highly correlated with the characteristic under study. In large scale surveys, two-phase sampling approach is proposed in order to reduce the number of sampled units which require the more expensive objective methods. Prediction approach is applied to predict the non-sampled units in surveys. In the large preliminary sample (first phase sample) of two-phase sampling, there are total n'- n non-sampled units having auxiliary information, so there is a need to develop an estimator based on prediction approach under finite population. In the present study, we have proposed a new estimator of finite population total based on prediction approach in the context of two-phase sampling.
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Date 2022-02-10T06:00:15Z
2022-02-10T06:00:15Z
2021-11-01
 
Type Article
 
Identifier Varshney, N., Ahmad, T., Rai, A., Biswas, A. and Sahoo, P.M. (2021). Prediction approach estimator using auxiliary information under two-phase sampling. International Journal of Agricultural and Statistical Sciences, 17(2), 733-739.
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http://krishi.icar.gov.in/jspui/handle/123456789/69732
 
Language English
 
Relation Not Available;
 
Publisher International Journal of Agricultural and Statistical Sciences, India