4.6 Article

Information Generating Function of Ranked Set Samples

期刊

ENTROPY
卷 23, 期 11, 页码 -

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MDPI
DOI: 10.3390/e23111381

关键词

information generating function; relative information generating function; Kullback-Leibler divergence; ranked set sampling; simple random sampling

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This paper investigates the information generating (IG) function and relative information generating (RIG) function measures associated with maximum and minimum ranked set sampling (RSS) schemes with unequal sizes. It also examines the IG measures for simple random sampling (SRS) and provides comparison results between SRS and RSS procedures in terms of dispersive stochastic ordering. Additionally, the paper discusses the RIG divergence measure between SRS and RSS frameworks.
In the present paper, we study the information generating (IG) function and relative information generating (RIG) function measures associated with maximum and minimum ranked set sampling (RSS) schemes with unequal sizes. We also examine the IG measures for simple random sampling (SRS) and provide some comparison results between SRS and RSS procedures in terms of dispersive stochastic ordering. Finally, we discuss the RIG divergence measure between SRS and RSS frameworks.

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