Inference procedures for the Birnbaum-Saunders distribution and its generalizations

DOI10.1016/J.CSDA.2009.08.024zbMath1464.62132OpenAlexW2006801420MaRDI QIDQ962268

B. E. Eshmatov

Publication date: 6 April 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2009.08.024

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric hypothesis testing (62G10) Reliability and life testing (62N05)

Related Items (12)

Estimation based on ranked set sampling for the two-parameter Birnbaum–Saunders distribution ⋮ The exponentiated generalized Birnbaum-Saunders distribution ⋮ Generalized interval estimation for the Birnbaum-Saunders distribution ⋮ The \(\beta\)-Birnbaum-Saunders distribution: an improved distribution for fatigue life modeling ⋮ Testing hypotheses in the Birnbaum-Saunders distribution under type-II censored samples ⋮ Size and power properties of some tests in the Birnbaum-Saunders regression model ⋮ On testing the log-gamma distribution hypothesis by bootstrap ⋮ Birnbaum‐Saunders distribution: A review of models, analysis, and applications ⋮ The Birnbaum-Saunders autoregressive conditional duration model ⋮ Comparison of several Birnbaum–Saunders distributions ⋮ Approximately distribution-free diagnostic tests for regressions with survival data ⋮ The odd Birnbaum-Saunders regression model with applications to lifetime data

Cites Work

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• Modified moment estimation for the two-parameter Birnbaum-Saunders distribution
• Improved statistical inference for the two-parameter Birnbaum-Saunders distribution
• Lifetime analysis based on the generalized Birnbaum-Saunders distribution
• On Birnbaum-Saunders inference
• Goodness-of-fit testing by transforming to normality: comparison between classical and characteristic function-based methods
• The Generalized Birnbaum–Saunders Distribution and Its Theory, Methodology, and Application
• A new family of life distributions
• Estimation for a family of life distributions with applications to fatigue
• A test for normality based on the empirical characteristic function

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