Frequentist Mixed Models: Diagnosis and Model Validation

Introduction

What this guide covers

Introduction Frequentist Inference · Advanced Diagnosis

Overview

Topics covered

• Introduction
• Structure and Formulation of Mixed Models
• The Fundamental Assumptions of the Mixed Model
• 2.1 The Endogeneity of Random Effects
• Typology of Residues in Mixed Models: Marginal vs. Conditionals
• 3.1 Marginal Residuals

Related concepts

Main connections

• Variance & standard deviation
• Residual analysis & diagnostics
• Mixed & multilevel models (GLMM)
• Linear algebra & matrices
• Maximum likelihood estimation
• p-value & significance

Compatible notation

Mathematical sample in LaTeX

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