Orthogonal least trimmed absolute deviation (OLTAD) estimator of the multiple linear errors-in-variables (EIV) model is presented. We show that the OLTAD estimator has the high breakdown point and appropriate properties. A new decimal-integer-coded genetic algorithm(DICGA) and Fast-OLTAD method for solving OLTAD estimators are also proposed. Computational experiments of the OLTAD estimator of t...

This paper outlines some research questions in relation to software process improvement. Software process improvement should be a continuous activity where you go through with a set of activities to achieve a higher level of maturity. These activities can be seen as a four step process; information collection and investigation, decision making and planning, implementation, and evaluation. This ...

Recent advances in object detection are mainly driven by deep learning with large-scale detection benchmarks. However, the fully-annotated training set is often limited for a target detection task, which may deteriorate the performance of deep detectors. To address this challenge, we propose a novel low-shot transfer detector (LSTD) in this paper, where we leverage rich source-domain knowledge ...

Purpose Recognizing the severity of COVID-19 on US economy, authors investigate behavior US-listed firms towards leverage speed adjustment (SOA) during pandemic. While prior evidence (based an international study) shows that firm increased pandemic leading to a higher SOA toward ratios, for same period reduced drastically. Yet there is dearth empirical studies firms' The fill this void. Design/...

There is strong evidence indicating that the existing measures which are designed to detect a single high leverage collinearity-reducing observation are not effective in the presence of multiple high leverage collinearity-reducing observations. In this paper, we propose a cutoff point for a newly developed high leverage collinearity-influential measure δ D i and two existing measures δi and li ...