Generalized linear models: fundamentals and transition from the classical linear model

Introduction

What this guide covers

Introduction Introduction Advanced Statistical Models · Generalization of the Linear Paradigm

Overview

Topics covered

• Introduction
• Generalized Linear Models (GLM)
• Limits of the Classical Linear Model
• Transformations and their deficiencies
• The One-Dimensional Exponential Family
• Properties and Theorems of Moments

Related concepts

Main connections

• Maximum likelihood estimation
• Variance & standard deviation
• Generalized linear models (GLM)
• Linear algebra & matrices
• Poisson distribution
• Calculus & differentiation

Compatible notation

Mathematical sample in LaTeX

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