Separate-Type Estimators for Estimating Population Ratio in Post-Stratified Sampling Using Variable Transformation
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http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53676#.VM8uXyzQrzE
ABSTRACT
The
study proposes, along the line of [1], six separate-type estimators for
estimating the population ratio of two variables in post-stratified
sampling, using variable transformation. Properties of the proposed
estimators were obtained up to first order approximations, both for
achieved sample configurations (conditional argument) and over repeated
samples of fixed size n (unconditional argument). Efficiency conditions,
under which the proposed separate-type estimators would perform better
than the associated customary separate-type estimators in terms of
having smaller mean squared errors, were obtained. Furthermore,
conditions under which some of the proposed separate-type estimators
would perform better than other proposed separate-type estimators were
also obtained. The optimum estimators among the proposed separate-type
estimators were obtained and an empirical illustration confirmed the
theoretical results.
KEYWORDS
Variable Transformation, Separate-Type Estimator, Optimum Estimators, Ratio, Product and Regression-Type Estimators, Mean Squared Error
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References
Onyeka,
A. , Izunobi, C. and Iwueze, I. (2015) Separate-Type Estimators for
Estimating Population Ratio in Post-Stratified Sampling Using Variable
Transformation. Open Journal of Statistics, 5, 27-34. doi: 10.4236/ojs.2015.51004.
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