Results 51 to 60 of about 4,362,963 (201)

Quantification of Microplastics in Treated Drinking Water Using µ-FT-IR Spectroscopy: A Case Study from Northeast Italy

Microplastics
Microplastics spread through the environment in various ways. Inland waters are an ideal medium for their dispersal, as they collect pollutants from various sources and transport them over long distances.
Giulia Dalla Fontana, Davide Lamprillo, Francesca Dotti, Ada Ferri, Tommaso Foccardi, Raffaella Mossotti   +5 more
doaj   +1 more source

Robust Statistical Approaches for RSS-Based Floor Detection in Indoor Localization

Sensors, 2016
Floor detection for indoor 3D localization of mobile devices is currently an important challenge in the wireless world. Many approaches currently exist, but usually the robustness of such approaches is not addressed or investigated.
Alireza Razavi, Mikko Valkama, Elena Simona Lohan   +2 more
doaj   +1 more source

Application of robust estimation methods in real estate valuation

Acta Scientiarum Polonorum. Administratio Locorum
Motives: Conducting real estate appraisals in well-developed markets presents a multitude of data analysis challenges. Some property price data may contain outliers that can significantly affect the valuation process and, as a result, the estimated ...
Tomasz Adamczyk
doaj   +1 more source

A NEW METHOD OF ROBUST LINEAR REGRESSION ANALYSIS: SOME MONTE CARLO EXPERIMENTS [PDF]

This paper has elaborated upon the deleterious effects of outliers and corruption of dataset on estimation of linear regression coefficients by the Ordinary Least Squares method.
Sudhanshu Kumar MISHRA
core   +2 more sources

Female in The Boardroom and Firm Performance: An Insight of Indonesia’s Firms

Revista Finanzas y Política Económica
The purpose of this research is to determine the impact of female board members on firm performance. This study employed a purposive sampling technique with a research sample comprised of 264 non-financial companies listed on the Indonesia Stock ...
Gatot Nazir Ahmad, Dicky Iranto , Edo Siregar , Dianta A. Sebayang   +3 more
doaj   +1 more source

Robust Distributed High-Dimensional Regression: A Convoluted Rank Approach

Entropy
This paper investigates robust high-dimensional convoluted rank regression in distributed environments. We propose an estimation method suitable for sparse regimes, which remains effective under heavy-tailed errors and outliers, as it does not impose ...
Mingcong Wu
doaj   +1 more source

Robust regression in Stata. [PDF]

In regression analysis, the presence of outliers in the data set can strongly distort the classical least squares estimator and lead to unreliable results.
Croux, Christophe, Verardi, Vincenzo
core  

Siegel's robust regression model in analyzing the effect of organizational interest on student academic achievement

Al-Jabar
Purpose: This study aims to understand how students’ interest in participating in campus organizations relates to their academic performance. The question is not simply whether interest leads to better grades, but how this interest, which grows from ...
Rahma Faelasofi, Rahman Cahyadi, Amy Sabila, Tri Yuni Hendrowati, M. Badrun   +4 more
doaj   +1 more source

Semiparametric Robust Estimation of Truncated and Censored Regression Models [PDF]

Many estimation methods of truncated and censored regression models such as the maximum likelihood and symmetrically censored least squares (SCLS) are sensitive to outliers and data contamination as we document.
Cizek, P.
core  

A Practical pedestrian approach to parsimonious regression with inaccurate inputs [PDF]

Songklanakarin Journal of Science and Technology (SJST), 2014
A measurement result often dictates an interval containing the correct value. Interval data is also created by roundoff, truncation, and binning. We focus on such common interval uncertainty in data.
Seppo Karrila
doaj