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

The Resource
Linear models (Statistics)
Resource Information

The concept

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

## Context

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

- 2-inverses and their statistical application
- A course in linear models
- A linear modeling approach for incremental power transfer capability
- A study of certain conservative sets for parameters in the linear statistical model
- A survey of statistical design and linear models
- A unified theory of estimation and inference for nonlinear dynamic models
- ANOVA and ANCOVA : a GLM approach
- ARMA model identification
- Advanced linear modeling : multivariate, time series, and spatial data; nonparametric regression and response surface maximization
- An introduction to generalized linear models
- Analysis of generalized linear mixed models in the agricultural and natural resources sciences
- Analysis of generalized linear mixed models in the agricultural and natural resources sciences
- Applied linear regression
- 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
- Bayes factor consistency in linear models when p grows with n
- Bayesian analysis of linear models
- Bayesian forecasting and dynamic models
- Bayesian full information analysis of simultaneous equation models using integration by Monte Carlo
- Designing general linear models to test research hypotheses
- Discrepancy-based model selection criteria using cross validation
- Dynamic nonlinear econometric models : asymptotic theory
- Economic data : handle with care
- Essays in linear economic structures
- Estimation in linear models
- Experimental design, statistical models, and genetic statistics : essays in honor of Oscar Kempthorne
- Fixed effects regression methods for longitudinal data : using SAS
- Foundations of linear and generalized linear models
- From data to model
- Functional relations, random coefficients, and nonlinear regression with application to kinetic data
- Generalized additive models : an introduction with R
- Generalized linear and nonlinear models for correlated data : theory and applications using SAS
- Generalized linear mixed models : modern concepts, methods and applications
- Generalized linear models
- Generalized linear models : a Bayesian perspective
- Generalized linear models : a unified approach
- Generalized linear models : an applied approach
- Generalized linear models and extensions
- Generalized linear models for categorical and continuous limited dependent variables
- Generalized linear models for cross-classified data from the WFS
- 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
- Impact of magnetic isolation on pointing system performance in the presence of structural flexibility
- Instrument relevance in multivariate linear models : a simple measure
- Interpreting probability models : logit, probit, and other generalized linear models
- Introduction to linear models
- Introduction to linear models and the design and analysis of experiments
- Introduction to matrices with applications in statistics
- Introduction to statistical modelling
- Introduction to the statistical analysis of categorical data
- Likelihood ratio tests for normal means constrained by two polyhedral cones
- Linear and generalized linear mixed models and their applications
- Linear and graphical models : for the multivariate complex normal distribution
- Linear discriminant analysis of multivariate assay and other mineral data
- Linear mixed models for longitudinal data
- Linear model theory : univariate, multivariate, and mixed models
- Linear models
- Linear models : a mean model approach
- Linear models : an integrated 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 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 the mathematics of uncertainty
- Linear models with correlated disturbances
- Linear models with nuisance parameters : some theoretical results applied to balanced designs
- Linear statistical models
- Linear statistical models : an applied approach
- Linear statistical models and related methods : with applications to social research
- Linearization models for complex dynamical systems : topics in univalent functions, functional equations and semigroup theory
- Matrices with applications in statistics
- Matrix algebra from a statistician's perspective
- Matrix tricks for linear statistical models : our personal top twenty
- Methods and applications of linear models : regression and the analysis of variance
- Methods and applications of linear models : regression and the analysis of variance
- Modeling count data
- Modelling binary data
- Modelling survival data in medical research
- Multilevel and longitudinal modeling using Stata
- Multilevel modelling of health statistics
- Multiple imputation approaches to regression analysis of interval-censored failure time data
- 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
- On efficient estimation in linear models with nuisance parameters
- Optimal design in and hazards of linearization of the model E(Y) = ax/(1+bx)
- Order restricted inferences on parameters in generalized linear models with emphasis on logistic regression
- Parameter estimation and hypothesis testing in linear models
- Partially linear models
- Plane answers to complex questions : the theory of linear models
- Plane answers to complex questions : the theory of linear models
- Prior information in linear models
- Regression analysis : statistical modeling of a response variable
- Regression modeling strategies : with applications to linear models, logistic and ordinal regression, and survival analysis
- Regression modeling strategies : with applications to linear models, logistic regression, and survival analysis
- Regression, ANOVA, and the general linear model : a statistics primer
- Sign-based methods in linear statistical models
- Statistical inference in linear models
- Statistical methods of model building, Volume II, Nonlinear regression, functional relations and robust methods
- Statistical modelling
- Statistical models and causal inference : a dialogue with the social sciences
- Statistical models in S
- Statistics for high-dimensional data : methods, theory and applications
- Structural equation modeling : a second course
- 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 3 : general linear model, analysis of variance
- The microcomputer scientific software series 4 : testing prediction accuracy
- The statistical analysis of categorical data
- The theory of dispersion models
- The theory of linear models
- The theory of linear models and multivariate analysis
- Tunnel diode models for electronic circuit analysis program (ECAP)
- 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 nonlinear 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.library.missouri.edu/resource/wbRmsoCMNFc/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.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.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>`