Cumulative Residual Entropy of Linear Consecutive k\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$k$$\end{document}-out-of- n\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$n$$\end{document}:G Systems and their Applications

被引:0
作者
M. Kayid [1 ]
N. Balakrishnan [2 ]
机构
[1] King Saud University,Department of Statistics and Operations Research, College of Science
[2] McMaster University,Department of Mathematics and Statistics
关键词
Consecutive ; -out-of-n:G systems; Cumulative residual entropy; Shannon entropy; Stochastic orders; Image processing;
D O I
10.1007/s11009-025-10176-4
中图分类号
学科分类号
摘要
This study provides a detailed investigation into the properties of the cumulative residual entropy of k\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$k$$\end{document}-out-of-n:G systems with consecutive structure. We first derive a useful formula to compute the cumulative residual entropy of the lifetime of a consecutive k\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$k$$\end{document}-out-of- n:G\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$n:\text{G}$$\end{document} system. Based on this formula, we then investigate the cumulative residual entropy of k\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$k$$\end{document} -out-of-n:G systems with consecutive structure in terms of well-known stochastic orders. We also derive some useful bounds. For practical applications, we introduce two nonparametric estimators of the cumulative residual entropy of consecutive k\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$k$$\end{document}-out-of- n\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$n$$\end{document}: G systems. The efficiency and performance of these estimators are demonstrated through the use of simulated datasets, and in addition through an image processing application.
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