Open AccessImproved Estimators for Estimating Average Yield Using Auxiliary Variable
Author(s) -
Subhash Kumar Yadav,
Manoj Dixit,
H. N. Dungana,
S. S. Mishra
Publication year - 2019
Publication title -
international journal of mathematical, engineering and management sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 10
ISSN - 2455-7749
DOI - 10.33889/ijmems.2019.4.5-097
Subject(s) - estimator , uttar pradesh , statistics , population , variable (mathematics) , mathematics , yield (engineering) , sampling (signal processing) , block (permutation group theory) , standard error , estimation , bootstrapping (finance) , econometrics , computer science , demography , engineering , socioeconomics , mathematical analysis , materials science , geometry , systems engineering , filter (signal processing) , sociology , metallurgy , computer vision
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.