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Linear models (Statistics)
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The concept ** Linear models (Statistics)** represents the subject, aboutness, idea or notion of resources found in **Brigham Young University**.

The Resource
Linear models (Statistics)
Resource Information

The concept

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

#### 100+ Items that share the Concept Linear models (Statistics)

## Context

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

- 2-inverses and their statistical application
- A First course in the theory of linear statistical models
- A course in linear models
- A first course in linear model theory
- A first course in the design of experiments : a linear models approach
- A parallel algorithm for estimating fixed and random effects in linear mixed models
- A unified theory of estimation and inference for nonlinear dynamic models
- ANOVA and ANCOVA : a GLM approach
- ARMA model identification
- Adequacy of approximations to distributions of test statistics in complex mixed linear models
- Advanced linear modeling : multivariate, time series, and spatial data; nonparametric regression and response surface maximization
- Advanced linear models : theory and applications
- An R companion to linear statistical models
- An automated and expert design system based on the general linear model
- An introduction to generalized linear models
- An introduction to generalized linear models
- An introduction to generalized linear models
- An introduction to generalized linear models
- An introduction to statistical modelling
- Analysis of generalized linear mixed models in the agricultural and natural resources sciences
- Applications of linear models in animal breeding
- Applied linear models with SAS
- Applied linear statistical models
- Applied linear statistical models : regression, analysis of variance, and experimental designs
- Applied regression analysis and generalized linear models
- Applied regression analysis, linear models, and related methods
- Applying 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
- Comparison of PQL software for analyzing generalized linear mixed models
- Computational aspects of model choice
- Credibility estimation in multiway classifications - a linear model approach
- Design of experiments : an introduction based on linear models
- Designing general linear models to test research hypotheses
- Dynamic generalized linear models for ranking pairwise comparisons using unbalanced data
- Economic data : handle with care
- Estimation in linear models
- Experimental design, statistical models, and genetic statistics : essays in honor of Oscar Kempthorne
- Exploratory linear dynamic systems analysis
- Functional relations, random coefficients, and nonlinear regression with application to kinetic data
- Generalized additive models
- Generalized additive models : an introduction with R
- Generalized linear mixed models for bacterial plate count data
- Generalized linear models
- Generalized linear models
- Generalized linear models : an applied approach
- Generalized linear models : with applications in engineering and the sciences
- Generalized linear models and extensions
- Generalized linear models with random effects : unified analysis via h-likelihood
- Generalized, linear, and mixed models
- Generalized, linear, and mixed models
- Growth curve models and statistical diagnostics
- Growth curves
- Handbook of nonlinear regression models
- Hierarchical linear modeling : guide and applications
- Hierarchical linear models : applications and data analysis methods
- Hypothesis identification in the case of the missing cell
- Identification, equivalent models, and computer algebra
- Improving computer analysis of linear models for large data sets
- Instrument relevance in multivariate linear models : a simple measure
- Interpreting probability models : logit, probit, and other generalized models
- Introduction to general and generalized linear models
- Introduction to linear models and the design and analysis of experiments
- Introduction to matrices with applications in statistics
- Introduction to statistical modelling
- Large linear models on minicomputers : an investigation
- Linear algebra and linear models
- Linear analysis of competitive economies
- 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 model theory : univariate, multivariate, and mixed models
- Linear models
- 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 : the theory and application of analysis of variance
- 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 in statistics
- Linear models with correlated disturbances
- Linear statistical models
- Linear statistical models
- Linear statistical models : an applied approach
- Linear statistical models : an applied approach
- 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
- Mixed-effects models in S and S-PLUS
- Modeling count data
- Modeling experimental and observational data
- Modelling binary data
- Modelling survival data in medical research
- Multivariate statistical modelling based on generalized linear models
- Multivariate statistical modelling based on generalized linear models
- Nonlinear economic models : cross-sectional, times series and neural network applications
- Nonlinear regression
- Nonlinear regression analysis and its applications
- Nonparametric methods in general linear models
- Numerical linear algebra for applications in statistics
- Parameter estimation and hypothesis testing in linear models
- Performance of the Kenward-Roger method when the covarariance [sic] structure is selected using AIC and BIC
- Plane answers to complex questions : the theory of linear models
- Plane answers to complex questions : the theory of linear models
- Plane answers to complex questions : the theory of linear models
- Posterior probabilities of alternative linear models. : Some theoretical considerations and empirical experiments.
- Regression & linear modeling : best practices and modern methods
- Regression analysis : statistical modeling of a response variable / | Rudolf J. Freund, William J. Wilson, Ping Sa
- Regression and linear models
- Regression modeling strategies : with applications to linear models, logistic regression, and survival analysis
- Regression, ANOVA, and the general linear model : a statistics primer
- Scale-sensitive linear analysis of granivorous rodent population dynamics
- Sign-based methods in linear statistical models
- Statistical inference in linear models
- Statistical modelling
- Statistical modelling with GLIM4
- Statistical models : theory and practice
- Statistical models in S
- Statistics for engineers and scientists
- Structural equation modeling : a second course
- Temporally correlated dirichlet processes in pollution receptor modeling
- Testing regression models based on sample survey data
- Testing research hypotheses with the general linear model
- The analysis of linear models
- The coordinate-free approach to linear models
- The microcomputer scientific software series 2 : general linear model, regression
- The microcomputer scientific software series 2 : general linear model, regression
- The microcomputer scientific software series 3 : general linear model, analysis of variance
- The microcomputer scientific software series 3 : general linear model, analysis of variance
- The microcomputer scientific software series 4 : testing prediction accuracy
- The theory of dispersion models
- The theory of linear models
- The theory of linear models and multivariate analysis
- Using HLM and NAEP data to explore school correlates of 1990 mathematics and geometry achievement in grades 4, 8, and 12 : methodology and results
- Weighted empirical processes in dynamic 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.lib.byu.edu/resource/wbRmsoCMNFc/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.lib.byu.edu/resource/wbRmsoCMNFc/">Linear models (Statistics)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.lib.byu.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.lib.byu.edu/">Brigham Young University</a></span></span></span></span></div>

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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.lib.byu.edu/resource/wbRmsoCMNFc/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.lib.byu.edu/resource/wbRmsoCMNFc/">Linear models (Statistics)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.lib.byu.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.lib.byu.edu/">Brigham Young University</a></span></span></span></span></div>`