Results 31 to 40 of about 1,977,172 (267)

The Use of Modern Robust Regression Analysis with Graphics: An Example from Marketing

Stats
Routine least squares regression analyses may sometimes miss important aspects of data. To exemplify this point we analyse a set of 1171 observations from a questionnaire intended to illuminate the relationship between customer loyalty and perceptions of
Marco Riani, Anthony C. Atkinson, Gianluca Morelli, Aldo Corbellini   +3 more
doaj   +1 more source

Geometric Morphometric Data Augmentation Using Generative Computational Learning Algorithms

Applied Sciences, 2020
The fossil record is notorious for being incomplete and distorted, frequently conditioning the type of knowledge that can be extracted from it. In many cases, this often leads to issues when performing complex statistical analyses, such as classification
Lloyd A. Courtenay, Diego González-Aguilera   +1 more
doaj   +1 more source

A Modified Residual-Based RAIM Algorithm for Multiple Outliers Based on a Robust MM Estimation

Sensors, 2020
The residual-based (RB) receiver autonomous integrity monitoring (RAIM) detector is a widely used receiver integrity enhancement technology that has the ability to rapidly respond to outliers.
Wenbo Wang, Ying Xu
doaj   +1 more source

Robust Tests in Genome-Wide Scans under Incomplete Linkage Disequilibrium [PDF]

, 2009
Under complete linkage disequilibrium (LD), robust tests often have greater power than Pearson's chi-square test and trend tests for the analysis of case-control genetic association studies.
Geller, Nancy, Joo, Jungnam, Wu, Colin, Zaykin, Dmitri, Zheng, Gang   +4 more
core   +1 more source

Ambiguity and robust statistics [PDF]

Journal of Economic Theory, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cerreia-Vioglio, Simone, Maccheroni, Fabio, Marinacci, Massimo, Montrucchio, Luigi   +3 more
openaire   +2 more sources

Examination of Quantitative Studies Published in National Journals in the Field of English Language Education in Terms of Methodology

Sakarya University Journal of Education, 2022
The main purpose of this study is to examine the quantitative studies conducted in the field of English Language Education in terms of methodology and to report the findings.
Atilla Özdemir, İdil Sayın, Ayşenur Uluyol   +2 more
doaj   +1 more source

Robust Statistics for Image Deconvolution

, 2017
We present a blind multiframe image-deconvolution method based on robust statistics. The usual shortcomings of iterative optimization of the likelihood function are alleviated by minimizing the M-scale of the residuals, which achieves more uniform ...
Budavari, Tamas, Gulian, Charles, Lee, Matthias, White, Richard   +3 more
core   +1 more source

Robust Hessian Locally Linear Embedding Techniques for High-Dimensional Data

Algorithms, 2016
Recently manifold learning has received extensive interest in the community of pattern recognition. Despite their appealing properties, most manifold learning algorithms are not robust in practical applications.
Xianglei Xing, Sidan Du, Kejun Wang
doaj   +1 more source

Anomaly Detection by Robust Statistics

, 2017
Real data often contain anomalous cases, also known as outliers. These may spoil the resulting analysis but they may also contain valuable information. In either case, the ability to detect such anomalies is essential.
Hubert, Mia, Rousseeuw, Peter J.
core   +1 more source

Določitev primernega geodetskega datuma z uporabo robustnih statističnih metod ( = Definition of appropriate geodetic datum using robust statistical methods) [PDF]

Geodetski Vestnik, 2016
The correct determination of geodetic datum is an obligatory condition for the proper determination of the point displacements. There are various methods of deformation analysis focused on the right identification of stable points, which ...
Aleš Marjetič, Klemen Kregar
doaj   +1 more source