Results 31 to 40 of about 2,673,176 (183)
USE OF THE SIMPLE LINEAR REGRESSION MODEL IN MACRO-ECONOMICAL ANALYSES [PDF]
The article presents the fundamental aspects of the linear regression, as a toolbox which can be used in macroeconomic analyses. The article describes the estimation of the parameters, the statistical tests used, the homoscesasticity and ...
Constantin ANGHELACHE
doaj
A Stochastic Restricted Principal Components Regression Estimator in the Linear Model
We propose a new estimator to combat the multicollinearity in the linear model when there are stochastic linear restrictions on the regression coefficients.
Daojiang He, Yan Wu
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With the widespread application of information technology and the continuous deepening of my country’s education informatization construction, the educational field has increasingly higher requirements for teachers’ informatization quality.
Shuping Li, Xinlei Yuan
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Error-Function-Based Penalized Quantile Regression in the Linear Mixed Model
We study a novel Doubly penalized ERror Function regularized Quantile Regression (DERF-QR) in this paper. This is a method of variable selection by ERror Function (ERF) regularization in the linear effects model.
Zelin Hang, Xiuli He
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Study on the Curvature Reducing Method of Non-linear Regression Model
The method to reduce the non-linear strength (curvature)of non-linear regression model was studied in this paper. Firstly, the reference point of the non-linear strength was analyzed.
Wu Jin-mei +4 more
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The Relationship between Economic Growth and Money Laundering – a Linear Regression Model [PDF]
This study provides an overview of the relationship between economic growth and money laundering modeled by a least squares function. The report analyzes statistically data collected from USA, Russia, Romania and other eleven European countries ...
Daniel Rece, Ion Stancu
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LINEAR REGRESSION MODEL IN THE ANALYSIS OF THE GROSS DOMESTIC PRODUCT [PDF]
As we ascertain the evolutionary trend of the global economy, it becomes evident that strict analyses on the evolution of a certain micro or macro-economical indicator is no longer enough to describe the corresponding phenomenon, as the emphasis shifts ...
Constantin ANGHELACHE, Mario PAGLIACCI
doaj
Admissibility of the usual confidence interval in linear regression
Consider a linear regression model with independent and identically normally distributed random errors. Suppose that the parameter of interest is a specified linear combination of the regression parameters. We prove that the usual confidence interval for
Giri, Khageswor +2 more
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Statistical inference in compound functional models [PDF]
We consider a general nonparametric regression model called the compound model. It includes, as special cases, sparse additive regression and nonparametric (or linear) regression with many covariates but possibly a small number of relevant covariates ...
Dalalyan, Arnak +2 more
core +4 more sources
Modelling Background Noise in Finite Mixtures of Generalized Linear Regression Models [PDF]
In this paper we show how only a few outliers can completely break down EM-estimation of mixtures of regression models. A simple, yet very effective way of dealing with this problem, is to use a component where all regression parameters are fixed to zero
Brito, Paula, Leisch, Friedrich
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