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Vol. 11, Special Issue 9 (2022)

Socio economic status and block wise estimation of milk production of Jammu district using small area estimation technique

Author(s):
Archana, SEH Rizvi, M Iqbal Jeelani Baht, P Kumar, Manpreet Kour and Vijay Khajuria
Abstract:
The demand for small area statistics is growing day-by-day not only in public but also in private sectors, and small area estimation technique (SAE) is becoming very important in survey sampling due to the thrust of planning process has shifted from macro to micro level. Small Area Estimation technique has been applied for obtaining estimates of per day total milk production at block levels in the Jammu district of J&K state. For this purpose stratified three stage random sampling plan was adopted with blocks constituting the strata, villages as the primary stage units, households possessing livestock as the secondary stage units and cows/buffaloes in milk in the selected households as the third stage units. A cross classified structure with blocks as ‘small areas’ and groups as cows and buffaloes was constituted. The block wise estimates of total milk production of cows and buffaloes per day were estimated through conventional estimators of this study. The average per day milk production (lt.) of all 20 blocks through direct, synthetic and composite small area estimation estimators showed that the total estimate of milk production for Jammu district through direct estimator was found to be 13,62,288 litres and through synthetic and composite estimators were found to be 13,49,910 and 13,54,546. It has been observed that the average agricultural income of all 20 blocks of Jammu district and showed that the agricultural income of block Bishnah was maximum (Rs. 26,95,000), whereas the block Khara Balli had the least (Rs. 13,000), among all the twenty (20) blocks of district Jammu of Jammu and Kashmir State. Also, it was clear that the blocks Arnia and Khour were at par.
It has been observed that the values of mean square error of the composite estimator were smaller as compared to direct and synthetic estimator. The minimum value of composite estimator was found 4265.37 and maximum was 6999522.27. Further the minimum value of absolute relative bias of the composite estimator was 3.89 and maximum was 11.23. In case of milk production it has been observed that the estimate of milk production estimated through composite estimator seems best based on mean square error and absolute relative bias criterion.
In this paper we have empirically investigated the estimate of per day average milk production at block levels of district Jammu of J&K UT through direct and indirect methods of small area estimation using real milk data set for different small domains and the results so obtained are compared in terms of mean square error and absolute relative bias.
Pages: 1731-1736  |  235 Views  106 Downloads
How to cite this article:
Archana, SEH Rizvi, M Iqbal Jeelani Baht, P Kumar, Manpreet Kour and Vijay Khajuria. Socio economic status and block wise estimation of milk production of Jammu district using small area estimation technique. The Pharma Innovation Journal. 2022; 11(9S): 1731-1736.

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