Efficiency Evaluation of Ranked Set Sampling Techniques using Secondary Agricultural Data
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Authors
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Khalid Ul Islam Rather
Sher-e-Kashmir Institute of Medical Sciences, Soura, J&K, India
Keywords:
Ranked Set Sampling (RSS); Simple Random Sampling (SRS); Agricultural data; Efficiency analysis; STATA; Secondary data analysisAbstract
Ranked Set Sampling (RSS) can improve estimation efficiency when measurement is costly or time-consuming. This study compares RSS with
Simple Random Sampling (SRS) using secondary agricultural data from official Indian sources. Four RSS variants are evaluated using relative
efficiency, imperfect-ranking simulations, and bootstrap variance estimation. Results show that RSS generally provides greater precision than SRS,
particularly when reliable auxiliary information is available, highlighting its potential for cost-effective agricultural surveys.
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