Log Type Calibration Estimator of Population Mean in Stratified Sampling
نویسندگان
چکیده
In this paper, a log type calibration estimator for estimating the population mean in stratified random sampling has been proposed utilizing available auxiliary information. This also extended case of double when information is not known. The simulation study carried out using R software on real as well artificial datasets. empirical bootstrap estimates percentage relative root squared error (%RRMSE) have computed These suggested estimators compared with given by Singh (Golden jubilee year 2003 linear regression estimator, 2003a) and Tracy et al. (Surv Methodol 29(1): 99–104, 2003).
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ژورنال
عنوان ژورنال: Journal of the Indian Society for Probability and Statistics
سال: 2022
ISSN: ['2364-9569']
DOI: https://doi.org/10.1007/s41096-022-00123-8