Introduction: Teacher evaluation, as an important strategyfor improving the quality of education, has been considered byuniversities and leads to a better understanding of the strengthsand weaknesses of education. Analysis of instructors’ scoresis one of the main fields of educational research. Since outliersaffect analysis and interpretation of information processes bothstructurally and concep...

Usually when performing a statistical test or estimation procedure, we assume the data are all observations of i.i.d. random variables, often from a normal distribution. Sometimes, however, we notice in a sample one or more observations that stand out from the crowd. These observation(s) are commonly called outlier(s). Outlier tests are more formal procedures which have been developed for detec...

Enabling smartphones to understand our emotional well-being provides the potential create personalised applications and highly responsive interfaces. However, this is by no means a trivial task - subjectivity in reporting emotions impacts reliability of ground-truth information whereas smartphones, unlike specialised wearables, have limited sensing capabilities. In paper, we propose new approac...

Process control charts are proven techniques for improving quality. Specifying the control limits is the most important step in designing a control chart. The presence of outliers may extremely affect the estimates of parameters using classical methods. Robust estimators which are not affected by outliers or the small departures from the model assumptions are applied in this paper to specify th...

In this paper, the main idea is to compute the robust regression model, derived by experimentation, in order to achieve a model with minimum effects of outliers and fixed variation among different experimental runs. Both outliers and nonequality of residual variation can affect the response surface parameter estimation. The common way to estimate the regression model coefficients is the ordinar...

Outliers have more than two centuries’ history in the field of statistics. Recently, they have become a focal topic because of their relevance to terrorism, network intrusions, financial fraud, and other areas where rare events are critical to understanding a process. This paper presents a new algorithm, called hdoutliers, for detecting multidimensional outliers. It is unique for a) dealing wit...