Results 71 to 80 of about 4,362,963 (201)

Penalized Trimmed Squares and a Modification of Support Vectors for Unmasking Outliers in Linear Regress

Revstat Statistical Journal, 2007
We consider the problem of identifying multiple outliers in linear regression models. We propose a penalized trimmed squares (PTS) estimator, where penalty costs for discarding outliers are inserted into the loss function.
G. Zioutas , A. Avramidis , L. Pitsoulis   +2 more
doaj   +1 more source

Financial structure gap and economic development in India

Journal of Business Economics and Management, 2014
This study is built on the concept of optimal financial structure and examines its dynamics with the economic development process of India. Specifically, the present study intends to examine the evolving importance of banks and markets during different ...
Pradeepta Sethi, Brajesh Kumar
doaj   +1 more source

A Robust Voting Ensemble Framework for Predicting Thermal Stability in Zn-Based Metal–Organic Frameworks

Journal of Applied Informatics and Computing
The prediction of thermal stability (TS) in zinc-based metal–organic frameworks (Zn-MOFs) is often challenged by experimental cost and distributional heterogeneity in materials datasets.
Taufiqul Umam, Harun Al Azies, Muhamad Akrom, Ananta Surya Pratama, Muhammad Diva Irnanda   +4 more
doaj   +1 more source

Robust bayesian inference in empirical regression models [PDF]

, 1991
Broadening the stochastic assumptions on the error terms of regression models was prompted by the analysis of linear multivariate t models in Zellner (1976).
Osiewalski, Jacek, Steel, Mark F.J.
core   +1 more source

A comparison between general linear regression and quantitative robust regression (data for kidney patients as an example)

مجلة الغري للعلوم الاقتصادية والادارية
Regression analysis is considered one of the statistical methods that are widely used  several papers because it describes the relationship between variables in the form of an equation and is defined as a statistical tool used to find out the ...
أسامة عبد العزيز كاظم القريشي, سما سعدي علي الهاشمي   +1 more
doaj   +1 more source

Application of robust regression in translational neuroscience studies with non-Gaussian outcome data. [PDF]

Front Aging Neurosci, 2023
Malek-Ahmadi M, Ginsberg SD, Alldred MJ, Counts SE, Ikonomovic MD, Abrahamson EE, Perez SE, Mufson EJ.   +7 more
europepmc   +1 more source

Robust Linear and Support Vector Regression [PDF]

, 2000
The robust Huber M-estimator, a differentiable cost function that is quadratic for small errors and linear otherwise, is modeled exactly, in the original primal space of the problem, by an easily solvable simple convex quadratic program for both linear ...
Mangasarian, Olvi, Musicant, David
core  

The Contrasting Ecological Effects of Farmland and Alfalfa Grassland Across Different Planting Scales in the North China Plain

Agronomy
Purpose: Comparing farmland and alfalfa grassland systems under different planting scales in influencing grain yield and environmental security is crucial to achieving sustainable food development. This study aims to evaluate the environmental impacts of
Xiaoyu Zhu, Yutong Li, Zhongkuan Liu, Changliang Shao, Lulu Wang, Xiaoping Xin   +5 more
doaj   +1 more source

RegCloser: a robust regression approach to closing genome gaps. [PDF]

BMC Bioinformatics, 2023
Cao S, Li M, Li LM.
europepmc   +1 more source

Robust regression with optimisation heuristics [PDF]

Linear regression is widely-used in finance. While the standard method to obtain parameter estimates, Least Squares, has very appealing theoretical and numerical properties, obtained estimates are often unstable in the presence of extreme observations ...
Enrico Schumann, Manfred Gilli
core