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Statistical Modeling & Regression · Generalized Linear Models (GLM)

Generalized linear models for continuous non-normal responses

Public introduction · full guide in Eikos

Introduction

What this guide covers

Introduction Introduction Generalized Linear Models (GLM) · Advanced Analysis

Overview

Topics covered

  • Introduction
  • Models for non-normal continuous responses
  • The Exponential Dispersive Family (FDE)
  • The Architecture of the Continuous Generalized Linear Model
  • Gamma Distribution Modeling
  • Common Link Functions for Gamma

Related concepts

Main connections

  • Variance & standard deviation
  • Mean & expected value
  • Maximum likelihood estimation
  • Calculus & differentiation
  • Residual analysis & diagnostics
  • Normal (Gaussian) distribution

Compatible notation

Mathematical sample in LaTeX

The expression is rendered accessibly, with its LaTeX source preserved below.

ℓ(θ,ϕ;y)=yθ−b(θ)a(ϕ)+c(y,ϕ).
View LaTeX source\ell(\theta, \phi; y) = \frac{y\theta - b(\theta)}{a(\phi)} + c(y, \phi).