#
Linear models (Statistics)
Resource Information
The concept ** Linear models (Statistics)** represents the subject, aboutness, idea or notion of resources found in **Boston University Libraries**.

The Resource
Linear models (Statistics)
Resource Information

The concept

**Linear models (Statistics)**represents the subject, aboutness, idea or notion of resources found in**Boston University Libraries**.- Label
- Linear models (Statistics)

- Authority link
- (uri) http://id.loc.gov/authorities/subjects/sh85077177

## Context

Context of Linear models (Statistics)#### Subject of

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- 2-inverses and their statistical application
- A beginner's guide to GLM and GLMM with R : a frequentist and Bayesian perspective for ecologists
- A course in linear models
- A unified theory of estimation and inference for nonlinear dynamic models
- ARMA model identification
- Advanced linear modeling : multivariate, time series, and spatial data ; nonparametric regression and response surface maximization
- An R companion to linear statistical models
- An introduction to generalized linear models
- Applied regression analysis and generalized linear models
- Assignment methods in combinatorial data analysis
- Bayesian analysis of linear models
- Bayesian forecasting and dynamic models
- Bayesian forecasting and dynamic models
- Bayesian full information analysis of simultaneous equation models using integration by Monte Carlo
- Design of experiments : an introduction based on linear models
- Design of experiments : an introduction based on linear models
- Estimation in linear models
- Experimental design, statistical models, and genetic statistics : essays in honor of Oscar Kempthorne
- Flexible simulated moment estimation of nonlinear errors-in-variables models
- Foundations of linear and generalized linear models
- Functional relations, random coefficients, and nonlinear regression with application to kinetic data
- Generalized additive models
- Generalized linear mixed models : modern concepts, methods and applications
- Generalized linear models
- Generalized linear models
- Generalized linear models
- Generalized linear models : with applications in engineering and the sciences
- Generalized linear models and extensions
- Generalized, linear, and mixed models
- Goodness of fit techniques and robustness considerations for the multiple logistic regression model
- Growth curve models and statistical diagnostics
- Introduction to general and generalized linear models
- Introduction to statistical modelling
- Linear and generalized linear mixed models and their applications
- Linear and graphical models : for the multivariate complex normal distribution
- Linear mixed models for longitudinal data
- Linear models
- Linear models : a mean model approach
- Linear models : an introduction
- Linear models : least squares and alternatives
- Linear models : least squares and alternatives
- Linear models and generalizations : least squares and alternatives
- Linear models for item scores : reliability, covariance structure, and psychometric inference
- Linear models for multivariate, time series, and spatial data
- Linear models for unbalanced data
- Linear models in statistics
- Linear models with correlated disturbances
- Linear statistical models
- Linear statistical models and related methods : with applications to social research
- Matrices with applications in statistics
- Matrix algebra from a statistician's perspective
- Methods and applications of linear models : regression and the analysis of variance
- Modelling binary data
- Modello Lineare : Teoria e Applicazioni con R
- Multilevel modelling of health statistics
- Multivariate statistical modelling based on generalized linear models
- Multivariate statistical modelling based on generalized linear models
- Nonlinear regression
- Nonlinear regression analysis and its applications
- Numerical linear algebra for applications in statistics
- Opt Art : From Mathematical Optimization to Visual Design
- Parameter estimation and hypothesis testing in linear models
- Plane answers to complex questions : the theory of linear models
- Regression modeling strategies : with applications to linear models, logistic regression, and survival analysis
- Statistical modelling
- Statistical models : theory and practice
- Statistical models in S
- Statistical tests for mixed linear models
- Statistics for high-dimensional data : methods, theory and applications
- The coordinate-free approach to linear models
- The theory of linear economic models
- The theory of linear models and multivariate analysis
- Weighted empirical processes in dynamic nonlinear models
- Weighted empiricals and linear models

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`<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.bu.edu/resource/YdWpW4hiaNo/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.bu.edu/resource/YdWpW4hiaNo/">Linear models (Statistics)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.bu.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.bu.edu/">Boston University Libraries</a></span></span></span></span></div>`