Bayesian Study of a Two-Component System with Common-Cause shock Failures. - Venkata S. S. Yadavalli; Andriëtte Bekker; J. Pauw (Asia Pac. J. Oper. Res., 2005)

Bounds for the Bayes Error in Classification: A Bayesian Approach Using Discriminant Analysis. - Thu Pham-Gia; Noyan Turkkan; Andriëtte Bekker (Stat. Methods Appl., 2007)

Exact nonnull distribution of Wilks' statistic: The ratio and product of independent components. - Andriëtte Bekker; Jacobus J. J. Ehlers; Mohammad Arashi (J. Multivar. Anal., 2011)

Distribution of the product of determinants of noncentral bimatrix beta variates. - Andriëtte Bekker; Jacobus J. J. Ehlers; Rene Ehlers; Mohammad Arashi (J. Multivar. Anal., 2012)

Preliminary testing of the Cobb-Douglas production function and related inferential issues. - Judy Kleyn; Mohammad Arashi; Andriëtte Bekker; S. Millard (Commun. Stat. Simul. Comput., 2017)

A gamma-mixture class of distributions with Bayesian application. - Janet van Niekerk; Andriëtte Bekker; Mohammad Arashi (Commun. Stat. Simul. Comput., 2017)

Wishart distributions: Advances in theory with Bayesian application. - Andriëtte Bekker; Janet van Niekerk; Mohammad Arashi (J. Multivar. Anal., 2017)

From Symmetry to Asymmetry on the Disc Manifold: Modeling of Marion Island Data. - Andriëtte Bekker; Priyanka Nagar; Mohammad Arashi; Hannes Rautenbach (Symmetry, 2019)

A Unified Model for Skewed Circular Data. - Najmeh Nakhaei Rad; Andriëtte Bekker; Mohammad Arashi (FUSION, 2020)

Modeling right-skewed financial data streams: A likelihood inference based on the generalized Birnbaum-Saunders mixture model. - Mehrdad Naderi; Farzane Hashemi; Andriëtte Bekker; Ahad Jamalizadeh (Appl. Math. Comput., 2020)

Computational methods applied to a skewed generalized normal family. - Andriëtte Bekker; Johan Ferreira; Mohammad Arashi; B. W. Rowland (Commun. Stat. Simul. Comput., 2020)

Skew Generalized Normal Innovations for the AR(p) Process Endorsing Asymmetry. - Ané Neethling; Johan Ferreira; Andriëtte Bekker; Mehrdad Naderi (Symmetry, 2020)

Mean Mixtures in Directional Statistics. - Priyanka Nagar; Andriëtte Bekker; Mohammad Arashi (MFI, 2021)

Bayesian inference for skew-wrapped Cauchy mixture model using a modified Gibbs sampler. - Najmeh Nakhaei Rad; Andriëtte Bekker; Mohammad Arashi (MFI, 2021)

The ratio of independent generalized gamma random variables with applications. - Vusi Bilankulu; Andriëtte Bekker; Filipe J. Marques (Comput. Math. Methods, 2021)

A flexible factor analysis based on the class of mean-mixture of normal distributions. - Farzane Hashemi; Mehrdad Naderi; Ahad Jamalizadeh; Andriëtte Bekker (Comput. Stat. Data Anal., 2021)

Coming Together of Bayesian Inference and Skew Spherical Data. - Najmeh Nakhaei Rad; Andriëtte Bekker; Mohammad Arashi; Christophe Ley (Frontiers Big Data, 2021)

Capturing a Change in the Covariance Structure of a Multivariate Process. - Andriëtte Bekker; Johannes T. Ferreira; Schalk W. Human; Karien Adamski (Symmetry, 2022)

Tsallis and Other Generalised Entropy Forms Subject to Dirichlet Mixture Priors. - Johannes T. Ferreira; Tanita Botha; Andriëtte Bekker (Symmetry, 2022)

A Semi-parametric Density Estimation with Application in Clustering. - Mahdi Salehi; Andriëtte Bekker; Mohammad Arashi (J. Classif., 2023)

Soft computing for the posterior of a matrix t graphical network. - Jason Pillay; Andriëtte Bekker; Johannes T. Ferreira; Mohammad Arashi (Int. J. Approx. Reason., 2025)

A New Look at the Dirichlet Distribution: Robustness, Clustering, and Both Together. - Salvatore D. Tomarchio; Antonio Punzo; Johannes T. Ferreira; Andriëtte Bekker (J. Classif., 2025)