Linear models (Statistics)

An Introduction to statistical modelling / by: (Language materials, printed)

Numerical linear algebra for applications in statistics / by: (Language materials, printed)

Matrix algebra from a statistician's perspective / by: (Language materials, printed)

Multivariate statistical modelling based on generalized linear models / by: (Language materials, printed)

Advanced linear modeling : = multivariate, time series, and spatial data; nonparametric regression and response surface maximization / by: (Language materials, printed)

Multilevel modelling of health statistics / by: (Language materials, printed)

An introduction to generalized linear models / by: (Language materials, printed)

Interpreting probability models : = logit, probit, and other generalized linear models / by: (Language materials, printed)

Linear model theory : = univariate, multivariate, and mixed models / by: (Language materials, printed)

Linear Models for Optimal Test Design by: (Language materials, printed)

Linear Models and Generalizations = Least Squares and Alternatives / by: (Language materials, printed)

Linear mixed models for longitudinal data by: (Language materials, printed)

Statistics for engineers and scientists / by: (Language materials, printed)

Statistical modelling and regression structures = festschrift in honour of Ludwig fahrmeir / by: (Language materials, printed)

Advances in directional and linear statistics = a festschrift for Sreenivasa Rao Jammalamadaka / by: (Electronic resources)

Vector generalized linear and additive models = with an implementation in R / by: (Electronic resources)

The linear model and hypothesis = a general unifying theory / by: (Electronic resources)

Statistical learning with sparsity : = the lasso and generalizations / by: (Language materials, printed)

Multivariate time series with linear state space structure by: (Electronic resources)

Bayesian data analysis in ecology using linear models withR, Bugs, and Stan by: (Electronic resources)

Flexible regression and smoothing : = using GAMLSS in R / by: (Language materials, printed)

Modeling count data by: (Electronic resources)

Power estimation on electronic system level using linear power models by: (Electronic resources)

Visualizing linear models by: (Electronic resources)

Effective statistical learning methods for actuaries I = GLMs and extensions / by: (Electronic resources)

Statistical methods for overdispersed count data by: (Electronic resources)

A first course in linear models and design of experiments by: (Electronic resources)

Log-linear models and logistic regression by: (Electronic resources)

Introduction to linear models and the design and analysis of experiments. by: (Language materials, printed)

Linear models with correlated disturbances / by: (Language materials, printed)

Applied linear statistical models : = regression, analysis of variance, and experimental designs / by: (Language materials, printed)

The theory of linear models / by: (Language materials, printed)

Nonlinear regression analysis and its applications / by: (Language materials, printed)

Hierarchical linear models : = applications and data analysis methods / by: (Language materials, printed)

Nonlinear regression / by: (Language materials, printed)

Generalized linear models / by: (Language materials, printed)

Weighted empiricals and linear models / by: (Language materials, printed)

Bayesian forecasting and dynamic models / by: (Language materials, printed)

Advanced linear models : = theory and applications / by: (Language materials, printed)

An Introduction to generalized linear models / by: (Language materials, printed)

Parameter estimation and hypothesis testing in linear models / by: (Language materials, printed)

Matrices with applications in statistics / by: (Language materials, printed)

The analysis of linear models / by: (Language materials, printed)

A course in linear models / by: (Language materials, printed)

Bayesian analysis of linear models / by: (Language materials, printed)

Assignment methods in combinatorial data analysis / by: (Language materials, printed)

Linear statistical models : = an applied approach / by: (Language materials, printed)

The Statistical analysis of categorical data / by: (Language materials, printed)

Bayesian data analysis / by: (Language materials, printed)

Multivariate statistical modelling based on generalized linear models / by: (Language materials, printed)

Regression and linear models / by: (Language materials, printed)

Linear models by: (Language materials, printed)

Nonlinear economic models : = cross-sectional, time series and neural network applications / by: (Language materials, printed)

Applied linear statistical models / by: (Language materials, printed)

Applied linear statistical models / by: (Language materials, printed)

Applying generalized linear models / by: (Language materials, printed)

Linear mixed models for longitudinal data / by: (Language materials, printed)

Regression modeling strategies : = with applications to linear models, logistic regression, and survival analysis / by: (Language materials, printed)

Generalized linear models : = with applications in engineering and the sciences / by: (Language materials, printed)

Generalized, linear, and mixed models / by: (Language materials, printed)

Generalized linear models : = a unified approach / by: (Language materials, printed)

Linear algebra and linear models by: (Electronic resources)

Linear models = least squares and alternatives / by: (Electronic resources)

Bayesian forecasting and dynamic models by: (Electronic resources)

Matrix algebra from a statistician's perspective by: (Electronic resources)

Linear mixed models for longitudinal data by: (Electronic resources)

Applying generalized linear models by: (Electronic resources)

Fixed effects regression methods for longitudinal data = using SAS / by: (Electronic resources)

Linear models = an integrated approach / by: (Electronic resources)

Linear models = a mean model approach / by: (Electronic resources)

Recent Advances in Linear Models and Related Areas = Essays in Honour of Helge Toutenburg / by: (Language materials, printed)

Statistics for engineers and scientists / by: (Language materials, printed)

Regression analysis : = statistical modeling of a response variable / by: (Language materials, printed)

Non-life insurance pricing with generalized linear models by: (Language materials, printed)

Linear models = least squares and alternatives / by: (Language materials, printed)

Linear algebra and linear models by: (Language materials, printed)

Applied linear statistical models / by: (Language materials, printed)

Generalized additive models : = an introduction with R / by: (Language materials, printed)

Introduction to general and generalized linear models / by: (Language materials, printed)

An introduction to generalized linear models / by: (Language materials, printed)

Linear model methodology / by: (Language materials, printed)

Linear algebra and linear models by: (Electronic resources)

Generalized linear models = with applications in engineering and the sciences / by: (Electronic resources)

Matrix tricks for linear statistical models : = our personal top twenty / by: (Language materials, printed)

ANOVA and ANCOVA : = a GLM approach / by: (Language materials, printed)

Hierarchical linear modeling : = guide and applications / by: (Language materials, printed)

Matrix algebra for linear models / by: (Language materials, printed)

Generalized linear models for categorical and continuous limited dependent variables / by: (Language materials, printed)

Plane answers to complex questions = the theory of linear models / by: (Electronic resources)

Advanced linear modeling = statistical learning and dependent data / by: (Electronic resources)

The catalogue of computational material models = basic geometrically linear models in 1D / by: (Electronic resources)

Linear and generalized linear mixed models and their applications by: (Electronic resources)

Applications of linear and nonlinear models = fixed effects, random effects, and total least squares / by: (Electronic resources)

Linear models and design by: (Electronic resources)

Regression analysis : = statistical modeling of a response variable / by: (Language materials, printed)

Modeling correlated outcomes using extensions of generalized estimating equations and linear mixed modeling by: (Electronic resources)

Generalized linear models and extensions by: (Electronic resources)

A Beginner's guide to GLM and GLMM with R : = a frequentist and Bayesian perspective for ecologists / by: (Language materials, printed)

Statistical tests for mixed linear models / by: (Language materials, printed)

Applying generalized linear models by: (Language materials, printed)

Bayesian forecasting and dynamic models by: (Language materials, printed)