Outlier detection and classification algorithms play a critical role in statistical analysis. The reweighted fast consistent and high breakdown point (RFCH) estimator is an outlier-resistant estimator of multivariate location and dispersion. Still, some difficulties hamper the application of the...

In this paper, the robustness of weighted non-linear least-squares estimation based on some preliminary estimators is examined. The preliminary estimators are the Lnorm estimates proposed by Schlossmacher, by El-Attar et al., by Koenker and Park, and by Lawrence and Arthur. A numerical example...

This study particularly focuses on Industry 4.0 in developing countries and, in particular, that of Bangladesh, which has been recognised as one of the fastest growing economies in South Asia. Prior to collecting the required data, a review was carried out on Industry 4.0 and the current...

The purpose of this study is to examine key influences that create barriers to female employees’ progression in leadership positions in Ready Made Garments (RMG) organisations. The area of enquiry is the ready-made garment producing organizations based on qualitative research. 8 participants...

This study restates the issue of international portfolio diversification benefits by considering the problem of perfect foresight assumption and constant variancecovariance estimation. Whilst emphasising the role of the asymmetry volatility model in portfolio formation, we also investigate the...