Estimation of critical points in the mixture inverse Gaussian model

DOI10.1007/BF02925999zbMath0911.62089OpenAlexW1977194419MaRDI QIDQ1381196

Olcay Akman, Ramesh C. Gupta

Publication date: 3 May 1999

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02925999

zbMATH Keywords

failure ratemean residual life functionBirnbaum-Saunders modellength biased inverse Gaussian

Mathematics Subject Classification ID

Point estimation (62F10) Reliability and life testing (62N05)

Related Items (7)

Proportional reversed hazard rate model and its applications ⋮ NORMAL- MIXTURE WITH APPLICATION TO FINANCIAL DATA ⋮ RELIABILITY STUDIES OF BIVARIATE BIRNBAUM–SAUNDERS DISTRIBUTION ⋮ On some mixture models based on the Birnbaum-Saunders distribution and associated inference ⋮ Weighted inverse Gaussian – a versatile lifetime model ⋮ Birnbaum‐Saunders distribution: A review of models, analysis, and applications ⋮ Critical time distribution of the mixture inverse Gaussian hazard rate

Uses Software

• bootstrap

Cites Work

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• On the reliability studies of a weighted inverse Gaussian model
• Estimating the critical time of the inverse Gaussian hazard rate
• The role of weighted distributions in stochastic modeling
• Inferences on the Parameters of the Birnbaum-Saunders Fatigue Life Distribution Based on Maximum Likelihood Estimation
• Reliability bounds and critical time for the Birnbaum-Saunders distribution
• Mean residual life function for certain types of non-monotonic ageing
• A new family of life distributions
• The bootstrap and Edgeworth expansion

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