Results 61 to 70 of about 63,550 (174)

The multivariate least trimmed squares estimator. [PDF]

In this paper we introduce the least trimmed squares estimator for multivariate regression. We give three equivalent formulations of the estimator and obtain its breakdown point. A fast algorithm for its computation is proposed.
Agullo, J, Croux, Christophe, Van Aelst, S   +2 more
core  

Identification of Influential Points in a Linear Regression Model [PDF]

Statistika: Statistics and Economy Journal, 2011
The article deals with the detection and identification of influential points in the linear regression model. Three methods of detection of outliers and leverage points are described. These procedures can also be used for one-sample (independent)datasets.
Jan Grosz
doaj  

Estimating the Permanent Growth Effects of Human Capital [PDF]

This paper estimates with the least trimmed least squares (LTS) a specification suitable to estimate the permanent growth effects of human capital, using educational attainment (H) as a proxy.
Rao, Bhaskara, Shankar, Sriram
core   +1 more source

Robust Sparse Canonical Correlation Analysis

, 2014
Canonical correlation analysis (CCA) is a multivariate statistical method which describes the associations between two sets of variables. The objective is to find linear combinations of the variables in each data set having maximal correlation.
Croux, Christophe, Wilms, Ines
core   +1 more source

Effects of a single outlier on the coefficient of determination: an empirical study [PDF]

, 2014
This article investigates the effects of outliers on the coefficient of determination, R2 which is computed by Ordinary Least Squares (OLS) estimator. It is now evident that the OLS is greatly affected by outliers and hence the R2 is also affected.
Fitrianto, Anwar, Hydara, Kutub, Midi, Habshah, Rana, Md. Sohel   +3 more
core   +1 more source

Mammalian Eye Gene Expression Using Support Vector Regression to Evaluate a Strategy for Detecting Human Eye Disease

علوم بهداشتی ایران, 2022
Background and purpose: Machine learning is a class of modern and strong tools that can solve many important problems that nowadays humans may be faced with.
Mahdi Roozbeh, Monireh Maanavi
doaj  

General Trimmed Estimation: Robust Approach to Nonlinear and Limited Dependent Variable Models [PDF]

High breakdown-point regression estimators protect against large errors and data con- tamination. Motivated by some { the least trimmed squares and maximum trimmed like- lihood estimators { we propose a general trimmed estimator, which unifies and ...
Cizek, P.
core   +1 more source

Robust high-dimensional semiparametric regression using optimized differencing method applied to the vitamin B2 production data

علوم بهداشتی ایران, 2020
Background and purpose: By evolving science, knowledge, and technology, we deal with high-dimensional data in which the number of predictors may considerably exceed the sample size.
Mahdi Roozbeh, Monireh Maanavi, Saman Babaie-Kafaki   +2 more
doaj  

Iterative Least Trimmed Squares for Mixed Linear Regression

, 2019
Accepted by NeurIPS ...
Shen, Yanyao, Sanghavi, Sujay
openaire   +2 more sources

Trust and Growth in the 1990s: A Robustness Analysis [PDF]

We conduct an extensive robustness analysis of the relationship between trust and growth for a later time period (the 1990s) and with a bigger sample (63 countries) than previous studies.
Bengtsson, Mikael, Berggren, Niclas, Jordahl, Henrik   +2 more
core