Results 251 to 260 of about 5,788,827 (317)

Single-index partially functional linear regression model

Statistical Papers, 2018
Zhongzhan Zhang
exaly   +2 more sources

Modeling with Mixtures of Linear Regressions

Statistics and Computing, 2002
Consider data (x1,y1),…,(xn,yn), where each xi may be vector valued, and the distribution of yi given xi is a mixture of linear regressions. This provides a generalization of mixture models which do not include covariates in the mixture formulation. This mixture of linear regressions formulation has appeared in the computer science literature under the
Kert Viele, Barbara Tong
openaire   +1 more source

Uncertain linear regression model and its application

Journal of Intelligent Manufacturing, 2014
Haiying Guo, Xiaosheng Wang, Zhichao Gao   +2 more
exaly   +2 more sources

Etemadi Multiple Linear Regression

Measurement, 2021
Regression modeling is one of the most widely used statistical processes to estimate the relationships between dependent and independent variables, which have been frequently applied in a wide range of applications successfully. This method includes many
Sepideh Etemadi, M. Khashei
semanticscholar   +1 more source

Application and interpretation of linear-regression analysis

Medical hypothesis, discovery & innovation ophthalmology journal
Background: Linear-regression analysis is a well-known statistical technique that serves as a basis for understanding the relationships between variables.
N. Roustaei
semanticscholar   +1 more source

Confidence sets in a linear regression model for interval data

Journal of Statistical Planning and Inference, 2012
Angela Blanco-Fernández, Ana Colubi, Gil Gonzalez-Rodriguez   +2 more
exaly   +2 more sources

Regression and the Linear Model

1981
A key feature in most statistical analyses is a statistical model and it will be helpful to look at examples of some simple models, and then discuss some terminology.
openaire   +1 more source

The Linear Regression Model

2009
The main focus of this chapter will be the linear regression model and its basic principle of estimation.We introduce the fundamental method of least squares by looking at the least squares geometry and discussing some of its algebraic properties.
Helge Toutenburg, null Shalabh
openaire   +1 more source

Linear Regression Models

2013
The correlation coefficient discussed in the last chapter is a component of one of the most important techniques in statistics: linear regression modeling. In this section, we introduce this topic and the subject of statistical modeling, in general.
Alfred DeMaris, Steven H. Selman
openaire   +1 more source

Identifiablity of Models for Clusterwise Linear Regression

Journal of Classification, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources