The so-called 3 σ-rule is a simple and widely used heuristic for outlier detection. This term is
a generic term of some statistical hypothesis tests whose test statistics are known as …

Real life data often suffer from non-informative objects—outliers. These are objects that are
not typical in a dataset and can significantly decline the efficacy of fuzzy models. In the paper …

Forecasting of working-days' electricity demand is vital for short-term planning. However,
demand variations due to outliers can reduce the accuracy of forecasts. Therefore, a time …

An outlier is defined as an observation that is significantly different from the others in its
dataset. In high-dimensional regression analysis, datasets often contain a portion of outliers …

A kinematic deformation analysis (KDA) model is mostly preferred to estimate the
displacement, velocity, and acceleration parameters in deformation analysis. Different …

This study presents a novel filtering methodology for Mobile Laser Scanning (MLS) data
using robust iterative reweighting. Initially, 3D point clouds are projected onto a 2D grid to …

Geodetic observations are crucial for monitoring landslides, crustal movements, and
volcanic activity. They are often integrated with data from interdisciplinary studies, including …

Książka stanowi próbę usystematyzowania wiedzy z zakresu znaczenia badania dynamiki
cen nieruchomości mieszkaniowych w rozwoju społeczno-gospodarczym. Przeanalizowano …

Sažetak The use of UAV has steadily increased over the past decade, and it has been seen
as a standard research tool for obtaining images and other information on demand …

The identification and removal of outliers in time series are important problems in numerous
fields. In this paper, a novel method (BCP-HI) is proposed to enhance the accuracy of outlier …