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Linear Models

Known as: Linear Model, Model, Linear, Models, Linear 
Statistical models in which the value of a parameter for a given value of a factor is assumed to be equal to a + bx, where a and b are constants. The… 
National Institutes of Health

Related topics

Related topics

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Linear Regression

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
On the Equivalence Between AR Family Time Series Models and Fuzzy Models in Signal Processing
In the paper an advanced analysis of the relationships between statistical Autoregressive (AR) type models and fuzzy models have… 
2016
2016
Travel Time Estimation Using Freeway Point Detector Data Based on Evolving Fuzzy Neural Inference System
Travel time is an important measurement used to evaluate the extent of congestion within road networks. This paper presents a new… 
Review
2013
Review
2013
Diagnostics for mixed/hierarchical linear models
Hierarchical structures are omnipresent in today’s society—this is reflected in the data that we collect on all aspects of this… 
Review
2010
Review
2010
Behaviour and modelling of timber structures with reference to robustness
A general description of the behaviour and modelling of timber structures in relation to requirements for robustness of… 
2009
2009
Repair and Maintenance Cost Models for Mf285 Tractor: A Case Study in Central Region of Iran
Appraisal of repair and maintenance cost models for farm machinery is important to decide for replacement time and to decrease… 
2004
2004
Strategies for genetic mapping of categorical traits
The search for efficient and powerful statistical methods and optimal mapping strategies for categorical traits under various… 
2004
2004
Human Head FE Modelling: Improvement of Skull Geometry and Brain Constitutive Laws
Traumatic head injuries remain a common cause of death and severe disabilities around the world. FE modelling of the head is a… 
1999
1999
ON VARIANCE–COVARIANCE COMPONENTS ESTIMATION IN LINEAR MODELS WITH AR(1) DISTURBANCES
Estimation of the autoregressive coefficient % in linear models with firstorder autoregressive disturbances has been broadly… 
1995
1995
A conditional likelihood approach to REML in Generalized Linear Models
Residual maximum likelihood estimation (REML) is often preferred to maximum likelihood estimation as a method of estimating… 
1986
1986
Double-inhibitor and uncoupler-inhibitor titrations. 1. Analysis with a linear model of chemiosmotic energy coupling.
The results of double-inhibitor and uncoupler-inhibitor titrations have been simulated and analyzed with a linear model of… 
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