Results 21 to 30 of about 6,070,042 (338)

Shrinkage Estimators for the Intercept in Linear and Uplift Regression

Scientific Annals of Computer Science, 2023
Shrinkage estimators modify classical statistical estimators by scaling them towards zero in order to decrease their prediction error. We propose shrinkage estimators for linear regression models which explicitly take into account the presence ...
Szymon Jaroszewicz, Krzysztof Rudas
doaj   +1 more source

Finite Mixtures of Generalized Linear Regression Models [PDF]

, 2007
Generalized linear models have become a standard technique in the statistical modelling toolbox for investigating relationships between variables.
Bettina Grün, Leisch, Friedrich, Friedrich Leisch, Grün, Bettina   +3 more
core   +1 more source

Linear regression in genetic association studies. [PDF]

PLoS ONE, 2013
In genomic research phenotype transformations are commonly used as a straightforward way to reach normality of the model outcome. Many researchers still believe it to be necessary for proper inference. Using regression simulations, we show that phenotype
Petra Bůžková
doaj   +1 more source

Linear Regression for Heavy Tails

Risks, 2018
There exist several estimators of the regression line in the simple linear regression: Least Squares, Least Absolute Deviation, Right Median, Theil–Sen, Weighted Balance, and Least Trimmed Squares.
Guus Balkema, Paul Embrechts
doaj   +1 more source

Robust Model Selection in Linear regression [PDF]

Kirkuk Journal of Science, 2007
The research deals with the proposing of robust formula for the accumulate prediction error (APE) criterion which is used in selecting regression model. The proposed formula evaluated with a simulation study.
Dr. Sabah Haseeb Hassan
doaj   +1 more source

MODELING CLUSTERWISE LINEAR REGRESSION ON POVERTY RATE IN INDONESIA

Barekeng, 2023
When a person's income is so low that it cannot cover even the most basic living expenses, they are said to be poor. Data on poverty levels and hypothesized causes are used in this study. If the data pattern forms clusters, one of the regression analyses
Eni Meylisah, Dyah Setyo Rini, Herlin Fransiska, Winalia Agwil, Bagus Sartono   +4 more
doaj   +1 more source

Local linear regression for functional predictor and scalar response [PDF]

, 2007
The aim of this work is to introduce a new nonparametric regression technique in the context of functional covariate and scalar response. We propose a local linear regression estimator and study its asymptotic behaviour.
Baíllo, Amparo, Grané Chávez, Aurea
core   +1 more source

Research on linear regression algorithm [PDF]

MATEC Web of Conferences
Linear regression is one of the most widely used predictive models in statistics and machine learning. This paper aims to comprehensively discuss the theoretical basis, mathematical principle and application of linear regression algorithm in various ...
Qu Kecheng
doaj   +1 more source

Bayesian Linear Regression [PDF]

, 2009
The paper is concerned with Bayesian analysis under prior-data conflict, i.e. the situation when observed data are rather unexpected under the prior (and the sample size is not large enough to eliminate the influence of the prior).
Walter, Gero, Augustin, Thomas
core   +1 more source

Linear Regression Based Real-Time Filtering

Advances in Electrical and Electronic Engineering, 2013
This paper introduces real time filtering method based on linear least squares fitted line. Method can be used in case that a filtered signal is linear. This constraint narrows a band of potential applications.
Misel Batmend, Daniela Perdukova
doaj   +1 more source