The bivariate sinh-elliptical distribution with applications to Birnbaum-Saunders distribution and associated regression and measurement error models

DOI10.1016/j.csda.2014.06.001zbMath1506.62183OpenAlexW1985075348MaRDI QIDQ1623686

Filidor Vilca, Camila Borelli Zeller, Narayanaswamy Balakrishnan

Publication date: 23 November 2018

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

Full work available at URL: https://doi.org/10.1016/j.csda.2014.06.001

zbMATH Keywords

asymptotic propertieskurtosisregression modelssinh-normal distributionmoment estimatorselliptical distributionmeasurement error modelsconsistent estimators

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Computational methods for problems pertaining to statistics (62-08) Asymptotic distribution theory in statistics (62E20) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Reliability and life testing (62N05)

Related Items (8)

Bivariate Birnbaum-Saunders accelerated lifetime model: estimation and diagnostic analysis ⋮ A bivariate Birnbaum-Saunders regression model ⋮ On mean-based bivariate Birnbaum-Saunders distributions: Properties, inference and application ⋮ Predictors with measurement error in mixtures of polynomial regressions ⋮ On multivariate log Birnbaum-Saunders distribution ⋮ The sinh-normal/independent nonlinear regression model ⋮ A bivariate fatigue-life regression model and its application to fracture of metallic tools ⋮ Birnbaum‐Saunders distribution: A review of models, analysis, and applications

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