Information Generating Function of Ranked Set Samples Journal Articles

abstract

• 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.

authors

• Kharazmi, Omid
• Tamandi, Mostafa
• Balakrishnan, Narayanaswamy

publication date

• October 21, 2021

has subject area

• 01 Mathematical Sciences (FoR)
• 02 Physical Sciences (FoR)
• Fluids & Plasmas (Science Metrix)

published in

• Entropy  Journal

keywords

• Kullback–Leibler divergence
• information generating function
• ranked set sampling
• relative information generating function
• simple random sampling

Digital Object Identifier (DOI)

• 10.3390/e23111381

start page

• 1381

end page

• 1381

volume

• 23

issue

• 11