Unveiling patterns and trends in research on cumulative damage models for statistical and reliability analyses: bibliometric and thematic explorations with data analytics

DOI10.32372/CHJS.15-01-05MaRDI QIDQ6651108

Víctor Leiva, Helton Saulo, Cecilia Orellana Castro, Roberto Vila

Publication date: 10 December 2024

Published in: Chilean Journal of Statistics (Search for Journal in Brave)

zbMATH Keywords

Birnbaum-Saunders distributionlatent Dirichlet allocationcumulative damagefatigue life predictionbibliometrical analysisGaussian inverse distribution

Mathematics Subject Classification ID

Exact distribution theory in statistics (62E15) Reliability and life testing (62N05)

Cites Work

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• Connection between the Hadamard and matrix products with an application to matrix-variate Birnbaum-Saunders distributions
• The \(\beta\)-Birnbaum-Saunders distribution: an improved distribution for fatigue life modeling
• Modified moment estimation for the two-parameter Birnbaum-Saunders distribution
• The Birnbaum-Saunders autoregressive conditional duration model
• Accelerated degradation models for failure based on geometric Brownian motion and gamma processes
• An extension of the generalized Birnbaum-Saunders distribution
• Improved statistical inference for the two-parameter Birnbaum-Saunders distribution
• Influence diagnostics in log-Birnbaum-Saunders regression models with censored data
• Lifetime analysis based on the generalized Birnbaum-Saunders distribution
• On the hazard function of Birnbaum-Saunders distribution and associated inference
• Bivariate Birnbaum-Saunders distribution and associated inference
• Extremely low cycle fatigue life prediction based on a new cumulative fatigue damage model.
• Shape and change point analyses of the Birnbaum-Saunders-\(t\) hazard rate and associated estimation
• A novel claim size distribution based on a Birnbaum-Saunders and gamma mixture capturing extreme values in insurance: estimation, regression, and applications
• On some mixture models based on the Birnbaum-Saunders distribution and associated inference
• What is fatigue damage? A view point from the observation of low cycle fatigue process
• Cumulative Damage Models for System Failure with Application to Carbon Fibers and Composites
• Acceptance Sampling Plans from Truncated Life Tests Based on the Generalized Birnbaum–Saunders Distribution
• Fatigue Failure Models ߝ Birnbaum-Saunders vs. Inverse Gaussian
• Community structure in social and biological networks
• 10.1162/jmlr.2003.3.4-5.993
• Birnbaum–Saunders statistical modelling: a new approach
• Bayesian Computation in a Birnbaum–Saunders Reliability Model with Applications to Fatigue Data
• Birnbaum‐Saunders distribution: A review of models, analysis, and applications
• Fast unfolding of communities in large networks
• Acceptance Sampling Plans from Truncated Life Tests Based on the Birnbaum–Saunders Distribution for Percentiles
• Robust statistical modeling using the Birnbaum‐Saunders‐t distribution applied to insurance
• The Generalized Birnbaum–Saunders Distribution and Its Theory, Methodology, and Application
• A Probabilistic Interpretation of Miner’s Rule
• A new family of life distributions
• Estimation for a family of life distributions with applications to fatigue
• A Log-Linear Model for the Birnbaum-Saunders Distribution
• Networks
• Diagnostics in Birnbaum-Saunders accelerated life models with an application to fatigue data
• Birnbaum-Saunders quantile regression and its diagnostics with application to economic data
• A new look at the Birnbaum-Saunders regression model
• Birnbaum-Saunders frailty regression models for clustered survival data
• Monitoring urban environmental pollution by bivariate control charts: new methodology and case study in Santiago, Chile

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