Analysis of variance.

Analysis of binary data / by: (Language materials, printed)

Variance components / by: (Language materials, printed)

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

Confidence intervals on variance components / by: (Language materials, printed)

Applied analysis of variance in behavioral science / by: (Language materials, printed)

Statistics for experimenters : = an introduction to design, data analysis, and model building / by: (Language materials, printed)

Fundamentals of exploratory analysis of variance / by: (Language materials, printed)

Applied statistics : = analysis of variance and regression / by: (Language materials, printed)

The analysis of variance. by: (Language materials, printed)

Multivariate analysis of variance and repeated measures : = a practical approach for behavioural scientists / by: (Language materials, printed)

Multiple regression and the analysis of variance and covariance / by: (Language materials, printed)

Analysis of messy data / by: (Language materials, printed)

Linear models by: (Language materials, printed)

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

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

Analysis of panel data / by: (Language materials, printed)

Analysis of covariance / by: (Language materials, printed)

Analysis of variance / by: (Language materials, printed)

Effect size for ANOVA designs / by: (Language materials, printed)

Generalizability theory : = a primer / by: (Language materials, printed)

Interaction effects in factorial analysis of variance / by: (Language materials, printed)

Relating statistics and experimental design : = an introduction / by: (Language materials, printed)

Multivariate analysis of variance / by: (Language materials, printed)

Random factors in ANOVA / by: (Language materials, printed)

Plane answers to complex questions : = the theory of linear models / by: (Language materials, printed)

Introduction to analysis of variance : = design, analysis, & interpretation / by: (Language materials, printed)

Theory and application of the linear model / by: (Language materials, printed)

Ordinal measurement in the behavioral sciences / by: (Language materials, printed)

Effect sizes for research = a broad practical approach / by: (Language materials, printed)

Permutation tests for stochastic ordering and ANOVA = theory and applications with R / by: (Language materials, printed)

Multilevel analysis : = techniques and applications / by: (Language materials, printed)

Analysis of messy data by: (Electronic resources)

Lifetime analysis by aging intensity functions by: (Electronic resources)

Design of observational studies by: (Electronic resources)

Important applications of the Behrens-Fisher statistic and the false discovery rate by: (Electronic resources)

Mathematical portfolio theory and analysis by: (Electronic resources)

ANOVA with dependent errors by: (Electronic resources)

Statistical methods for rates and proportions / = Joseph L. Fleiss, Bruce Levin, Myunghee Cho Paik. by: (Language materials, printed)

An introduction to the analysis of variance by: (Electronic resources)

Extending the linear model with R : = generalized linear, mixed effects and nonparametric regression models / by: (Language materials, printed)

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

Practical data analysis in chemistry / by: (Language materials, printed)

Quantitative data analysis for social scientists / by: (Language materials, printed)

Statistical methods : = a geometric primer / by: (Language materials, printed)

A Student's guide to analysis of variance / by: (Language materials, printed)

Observational studies / by: (Language materials, printed)

Smoothing spline ANOVA models / by: (Language materials, printed)

Generalizability theory / by: (Language materials, printed)

Longitudinal data analysis : = designs, models and methods / by: (Language materials, printed)

Multilevel analysis : = techniques and applications / by: (Language materials, printed)

Statistics for experimenters : = design, innovation, and discovery / by: (Language materials, printed)

Analysis of panel data / by: (Language materials, printed)

Multilevel analysis = techniques and applications / by: (Language materials, printed)

Effect sizes for research : = a broad practical approach / by: (Language materials, printed)

S+ Functional Data Analysis = User's Manual for Windows / by: (Language materials, printed)

Design and analysis of gauge R&R studies = making decisions with confidence intervals in random and mixed ANOVA models / by: (Language materials, printed)

Data analysis for experimental design / by: (Language materials, printed)

Design of observational studies by: (Language materials, printed)

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

Extending the linear model with R : = generalized linear, mixed effects and nonparametric regression models / by: (Language materials, printed)

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

Methods and applications of linear models : = regression and the analysis of variance / by: (Language materials, printed)

Mixed models : = theory and applications with R / by: (Language materials, printed)

Applied statistics : = regression and analysis of variance / by: (Language materials, printed)

Analysis of variance for functional data / by: (Language materials, printed)

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

Inference on the Hurst parameter and the variance of diffusions driven by fractional Brownian motion by: (Electronic resources)

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

Analysis of variance and regression : = multiple decision theoretic approach / by: (Language materials, printed)

Smoothing spline ANOVA models / by: (Language materials, printed)

Introduction to mixed modelling = beyond regression and analysis of variance / by: (Electronic resources)

Mixed models = theory and applications with R / by: (Electronic resources)

Introduction to mixed modelling : = beyond regression and analysis of variance / by: (Language materials, printed)

Advanced analysis of variance by: (Electronic resources)

Variant construction from theoretical foundation to applications by: (Electronic resources)

Pairwise multiple comparisons = theory and computation / by: (Electronic resources)