gbs
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Software:18216
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Source code repository: https://github.com/cran/gbs
Related Items (25)
Revisit of relationships and models for the Birnbaum-Saunders and inverse-Gaussian distributions ⋮ Lower confidence limit for reliability based on grouped data using a quantile-filling algorithm ⋮ A family of autoregressive conditional duration models applied to financial data ⋮ The McDonald extended distribution: properties and applications ⋮ The GBS code for tokamak scrape-off layer simulations ⋮ Multiplicative bias correction for generalized Birnbaum-Saunders kernel density estimators and application to nonnegative heavy tailed data ⋮ A semiparametric scale-mixture regression model and predictive recursion maximum likelihood ⋮ Shape and change point analyses of the Birnbaum-Saunders-\(t\) hazard rate and associated estimation ⋮ Diagnostics for a class of survival regression models with heavy-tailed errors ⋮ On matrix-variate Birnbaum-Saunders distributions and their estimation and application ⋮ Capability indices for Birnbaum–Saunders processes applied to electronic and food industries ⋮ Birnbaum-Saunders distribution based on Laplace kernel and some properties and inferential issues ⋮ Modeling wind energy flux by a Birnbaum–Saunders distribution with an unknown shift parameter ⋮ On a variance stabilizing model and its application to genomic data ⋮ Robust statistical modeling using the Birnbaum‐Saunders‐t distribution applied to insurance ⋮ A generalization of the power law distribution with nonlinear exponent ⋮ Birnbaum‐Saunders distribution: A review of models, analysis, and applications ⋮ Unnamed Item ⋮ Bayesian analysis of Birnbaum-Saunders distribution via the generalized ratio-of-uniforms method ⋮ Generalized Birnbaum-Saunders kernel density estimators and an analysis of financial data ⋮ Birnbaum–Saunders statistical modelling: a new approach ⋮ Approximately distribution-free diagnostic tests for regressions with survival data ⋮ On the existence and uniqueness of the maximum likelihood estimates of parameters of Laplace Birnbaum-Saunders distribution based on type-I, type-II and hybrid censored samples ⋮ Unnamed Item ⋮ Influence diagnostics in the Tobit censored response model
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