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Improved Estimators for Estimating Average Yield Using Auxiliary Variable
- Source :
- International Journal of Mathematical, Engineering and Management Sciences, Vol 4, Iss 5, Pp 1228-1238 (2019)
- Publication Year :
- 2019
- Publisher :
- International Journal of Mathematical, Engineering and Management Sciences, 2019.
-
Abstract
- In this paper, we consider the improved estimation of average production of peppermint at block level of Barabanki district of Uttar Pradesh State (India). We suggest certain estimators for population-mean. Here, population refers to production population as study variable and auxiliary-variable refers to Area of field. We study the sampling properties naming bias and MSE of estimators, which are presently proposed by us in the paper. We compare our proposed estimators with other ones existing in literature. For the support of the theoretical findings, we carry out a numerical study for the natural population on primary data collected from Banikodar Block of Barabanki District situated in Uttar Pradesh State.
- Subjects :
- Yield (engineering)
General Computer Science
lcsh:T
General Mathematics
lcsh:Mathematics
05 social sciences
General Engineering
050401 social sciences methods
Estimator
lcsh:QA1-939
01 natural sciences
General Business, Management and Accounting
lcsh:Technology
Auxiliary variables
010104 statistics & probability
Ratio-estimator
MSE
0504 sociology
Statistics
Auxiliary variable
0101 mathematics
Population variable
PRE
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 24557749
- Volume :
- 4
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- International Journal of Mathematical, Engineering and Management Sciences
- Accession number :
- edsair.doi.dedup.....a668cf1dea621c3e5817b594b18bc5a7