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)

Birnbaum-Saunders distribution latent Dirichlet allocation cumulative damage fatigue life prediction bibliometrical analysis Gaussian 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
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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
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Birnbaum–Saunders statistical modelling: a new approach
Bayesian Computation in a Birnbaum–Saunders Reliability Model with Applications to Fatigue Data
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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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