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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
We also support this formula with a numerical example.
📌 3 Key Takeaways
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Objective & Hypothesis:In a finite population setting, Ozdemir and Gokpinar (A Generalized formula for inclusion probabilities in ranked set sampling, Hacettepe J.
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Key Findings & Data:Stat 36 (1), 89–99, 2007) obtained a generalized formula for inclusion probabilities in Ranked Set Sampling for all set sizes when the cycle size is 1.
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Conclusion & Impact:We also support this formula with a numerical example.
🔬Design:Research Article
📍Scope:2007 Verileri
⚙️Variables:Finite population · Inclusion probability · Ranked set sampling
Abstract
In a finite population setting, Ozdemir and Gokpinar (A Generalized formula for inclusion probabilities in ranked set sampling, Hacettepe J. Math. Stat 36 (1), 89–99, 2007) obtained a generalized formula for inclusion probabilities in Ranked Set Sampling for all set sizes when the cycle size is 1. This paper extends the generalized formula for inclusion probabilities to all set and cycle sizes. We also support this formula with a numerical example.
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Cite This Article
Gokpinar, F., Ozdemir, Y. A. (2010). GENERALIZATION OF INCLUSION PROBABILITIES IN RANKED SET SAMPLING. Hacettepe Journal of Mathematics and Statistics, Volume: 39 Issue: 1. https://ajindex.com/articles/1403720