Estimation methods — Statistical inference · Introduction

Introduction

What this guide covers

Introduction 𝔼[T] Statistical Inference Unit II · Estimation Theory

Overview

Topics covered

Introduction
Estimation Methods
Introduction to Estimation
Types of Estimation
General Framework: Loss Function
Properties of Estimators

Related concepts

Main connections

Compatible notation

Mathematical sample in LaTeX

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

R(\theta, T) = \mathbb{E}_\theta\!\left[L\!\left(\theta,\, T(\mathbf{X})\right)\right] = \int_{\mathcal{X}^n} L\!\left(\theta, T(\mathbf{x})\right)\, dP_\theta^n(\mathbf{x})

View LaTeX source

R(\theta, T) = \mathbb{E}_\theta\!\left[L\!\left(\theta,\, T(\mathbf{X})\right)\right] = \int_{\mathcal{X}^n} L\!\left(\theta, T(\mathbf{x})\right)\, dP_\theta^n(\mathbf{x})