We define robust estimators for the parameters of the Cauchy distribution based on the probability integral method. The proposed estimators have bounded influence functions and high breakdown points. These estimators are simple, robust and consistent, but asymptotically less efficient than the maximum likelihood estimators which are not robust. A simulation study for finite sample size shows th...

We propose a novel variant of the value-based additive data envelopment analysis model. It conducts comprehensive robustness efficiency outcomes for all feasible input and output weights using mathematical programming Monte Carlo simulation. also introduce original procedures selecting common vector an approach investigating stability results in multiscenario setting. The presented framework is...

In order to achieve improved performance and efficiency of domestic industrial fan/pump applications using low-cost solutions, the synchronous reluctance motors (SynRMs) remains a better choice than induction (IMs) which are still widely used for such despite its low during speed operation. However, due lack self-start capability SynRMs need external drive control algorithm properly operate, in...