On the Properties of the Weighted Mean Residual Life in Mixtures

ABSTRACT This paper focuses on the weighted mean residual life (WMRL) in mixtures of time to failure distributions. WMRL is an aging index that accounts for transformations of nonnegative random variables. The time to failure of systems operating under changing environments is described by mixtures of distributions that capture the corresponding random effects. This study analyzes the preservation by mixtures of aging properties based on the WMRL and bending properties. The latter compare the WMRL of the mixture and the expected value of the WMRL of the distributions therein. We also analyze the combined effect of a frailty and lifetime functions in the case of mixtures following the proportional WMRL model. The results reveal the improved behavior in the WMRL of mixtures with respect to that in the sub‐populations in the mixture. This pattern is relevant for the maintenance of systems.

Authors

Institutions

Publication Details

Journal
Applied Stochastic Models in Business and Industry
Published
2025-11-01
DOI
https://doi.org/10.1002/asmb.70055
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On the Properties of the Weighted Mean Residual Life in Mixtures

M.D. Berrade, F. G. Badía, Ji Hwan, Hyunju Lee
Applied Stochastic Models in Business and Industry
Statistical Distribution Estimation and Applications
article

On the Properties of the Weighted Mean Residual Life in Mixtures

M.D. Berrade, F. G. Badía, Ji Hwan, Hyunju Lee
article en

Abstract

ABSTRACT This paper focuses on the weighted mean residual life (WMRL) in mixtures of time to failure distributions. WMRL is an aging index that accounts for transformations of nonnegative random variables. The time to failure of systems operating under changing environments is described by mixtures of distributions that capture the corresponding random effects. This study analyzes the preservation by mixtures of aging properties based on the WMRL and bending properties. The latter compare the WMRL of the mixture and the expected value of the WMRL of the distributions therein. We also analyze the combined effect of a frailty and lifetime functions in the case of mixtures following the proportional WMRL model. The results reveal the improved behavior in the WMRL of mixtures with respect to that in the sub‐populations in the mixture. This pattern is relevant for the maintenance of systems.

Applied Stochastic Models in Business and IndustryVol. 41(6)
Ewha Womans University (KR), Universidad de Zaragoza (ES), Hankuk University of Foreign Studies (KR)
National Research Foundation, Hankuk University of Foreign Studies, Ministry of Science, ICT and Future Planning, National Research Foundation of Korea, Ministerio de Ciencia e Innovación, Ministry of Science and ICT, South Korea, CHIST-ERA
Openalex Percentile: Top 68%
Statistical Distribution Estimation and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.