Estimation Methods for Small Area Statistics in Repeated Surveys - Singh, Bhim;Sisodia, B. V. S.
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The requirements for small area statistics have been in great demand by public as well as private sectors because the governments are interested in obtaining statistics for smaller domains such as States, Provinces, Districts, Tehsils, Blocks and Village Panchayat etc or different racial and ethnic subgroups for implementing their policies at local. These domains are called small area-the term SMALL refers to the fact that the sample size in the area or domain from the survey is small. The Small Area Statistics (SAS) method like synthetic etc. may be used to utilise such data for obtaining…mehr

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Produktbeschreibung
The requirements for small area statistics have been in great demand by public as well as private sectors because the governments are interested in obtaining statistics for smaller domains such as States, Provinces, Districts, Tehsils, Blocks and Village Panchayat etc or different racial and ethnic subgroups for implementing their policies at local. These domains are called small area-the term SMALL refers to the fact that the sample size in the area or domain from the survey is small. The Small Area Statistics (SAS) method like synthetic etc. may be used to utilise such data for obtaining small area estimates of change in the parameters or an overall estimates over a period of time or most efficient small area estimates on current occasion. In this book, we have presented estimations methodologies for small areas statistics in repeated surveys. Also an empirical study is carried out to show the properties of the proposed estimators.
Autorenporträt
The author obtained M.Sc. and Ph.D. in the subject of Agricultural Statistics from N.D. University of Agriculture and Technology, Faizabad, India. He is working as Assistant Professor in the College of Horticulture and Forestry, MPUAT, Jhalawar since Feb.,2007. He engaged in teaching and research in the area of Agricultural Statistics.