Some improved estimators of finite population quantile using auxiliary information in sample surveys
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Publication:956886
DOI10.1016/S0167-9473(03)00097-5zbMath1429.62051OpenAlexW2121674899MaRDI QIDQ956886
Y. Román, M. M. Rueda, María Dolores Martínez Miranda, Antonio Arcos Cebrián
Publication date: 26 November 2008
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0167-9473(03)00097-5
mean squared errorauxiliary informationsimple random samplingstratified random samplingfinite population quantiles
Related Items (7)
Estimation of population distribution function involving measurement error in the presence of non response ⋮ Confidence intervals for quantile estimation using jackknife techniques ⋮ New ratio and difference estimators of the finite population distribution function ⋮ A quantile estimator under two-phase sampling for stratification ⋮ Looking for optimal auxiliary variables in sample survey quantile estimation ⋮ Quantile estimation in two-phase sampling ⋮ Nonparametric Model-Based Estimators for the Cumulative Distribution Function of a Right Censored Variable in a Small Area
Cites Work
- Model assisted survey sampling
- Lower bounds for confidence coefficients for confidence intervals for finite population quantiles
- A kernel method for estimating finite population distribution functions using auxiliary information
- On estimating distribution functions and quantiles from survey data using auxiliary information
- Bootstrap and other methods to measure errors in survey estimates
- A new estimator for the finite population distribution function
- Estimating distribution functions from survey data
- Confidence Intervals for Medians and Other Position Measures
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