Ordering of series and parallel systems comprising heterogeneous generalized modified Weibull components Conferences

abstract

• AbstractIn this paper, we deal with comparisons of the smallest and largest order statistics arising from independent heterogeneous generalized modified Weibull random variables in terms of various stochastic orderings. The main results established here are based on (i) vector majorization of parameters and (ii) multivariate chain majorization with heterogeneity in two and three parameters.

authors

• Balakrishnan, Narayanaswamy
• Nanda, Phalguni
• Kayal, Suchandan

status

• published 

publication date

• November 2018

has subject area

• 0102 Applied Mathematics (FoR)
• 0104 Statistics (FoR)
• 1502 Banking, Finance and Investment (FoR)
• Statistics & Probability (Science Metrix)

published in

• Applied Stochastic Models in Business and Industry  Journal

presented at event

• 17th International Conference on Applied Stochastic Models and Data Analysis (ASMDA)  Conference

keywords

• FAMILY
• MAXIMA
• Mathematics
• Mathematics, Interdisciplinary Applications
• Operations Research & Management Science
• POPULATIONS
• Physical Sciences
• STATISTICS
• STOCHASTIC COMPARISONS
• Science & Technology
• Statistics & Probability
• Technology
• likelihood ratio order
• majorization
• order statistics
• series and parallel systems
• stochastic orders

Digital Object Identifier (DOI)

• 10.1002/asmb.2353

start page

• 816

end page

• 834

volume

• 34

issue

• 6