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Quartile Double Rankled Set Sampling for Estimating the Population Mean
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Amer Ibrahim Al-Omari
Published/Copyright:
March 15, 2010
Abstract
Quartile Double Ranked Set Sampling (QDRSS) is investigated for estimating the population mean. The QDRSS estimators are compared to the simple random sampling (SRS), ranked set sampling (RSS) and quartile ranked set sampling (QRSS) estimators. It is shown that, the QDRSS estimators are unbiased for the population mean when the underlying distribution is symmetric, and have small biases when the underlying distribution is asymmetric. It turns out that the QDRSS is superior to the SRS, RSS and QRSS based on the same number of measured units. A real data set of “trees' olive yields” is used to illustrate the method.
Keywords:: Simple random sampling; quartile; estimation; symmetric distribution; ranked set sampling
Published Online: 2010-03-15
Published in Print: 2009-October
© Heldermann Verlag
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Keywords for this article
Simple random sampling;
quartile;
estimation;
symmetric distribution;
ranked set sampling
Articles in the same Issue
- Uncertainty and E-Learning
- Selection of Bayesian Single Sampling Attributes Plans Based on Polya Distribution
- Controlling Energy Utilisation at Reheat Furnace Using Time Series Model
- A Replacement Policy Based on Down Time for a Cold Standby System with Dependent Lifetime and Repairtime
- Inference on a Sharp Jump in Hazard Rate: A Review
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- Control Charts for Mean under Shrinkage Technique
- A Note on Maximum Entropy in Queueing Problems
- Gini's Mean Difference Based Time-Varying EWMA Charts
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