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Estimators In The Ranked Set Sampling

Hülya Çıngı, Cem Kadılar

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Abstract

Ranked Set Sampling (RSS) is an alternative design of the Simple Random Sampling. The RSS design has some advantages according the Simple Random Sampling. For example, by this design, efficient estimates can be obtained using less data in the sample. In Chapter 5, the usage of this practical design is explained and some basic estimators are examined in RSS. In addition, the ratio and the regression estimators are also studied for this design. By a problem given in this chapter, the readers can understand how to apply the RSS design to the data and the estimation stage completely.

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Ranked Set Sampling (RSS) is an alternative design of the Simple Random Sampling. The RSS design has some advantages according the Simple Random Sampling. For example, by this design, efficient estimates can be obtained using less data in the sample. In Chapter 5, the usage of this practical design is explained and some basic estimators are examined in RSS. In addition, the ratio and the regression estimators are also studied for this design. By a problem given in this chapter, the readers can understand how to apply the RSS design to the data and the estimation stage completely.

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Available abstract

Ranked Set Sampling (RSS) is an alternative design of the Simple Random Sampling. The RSS design has some advantages according the Simple Random Sampling. For example, by this design, efficient estimates can be obtained using less data in the sample. In Chapter 5, the usage of this practical design is explained and some basic estimators are examined in RSS. In addition, the ratio and the regression estimators are also studied for this design. By a problem given in this chapter, the readers can understand how to apply the RSS design to the data and the estimation stage completely.

Key concepts: RSS, Simple random sample, Estimator, Sampling design, Sampling (signal processing), Computer science, Statistics, Set (abstract data type)

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