Stata: Statistical Inference and Hypothesis Testing · Introduction

Introduction

What this guide covers

Introduction Command Mapping · Advanced Programming

Overview

Topics covered

Introduction
Data architecture and inference in Stata
1.1 Internal results storage structures: r-class and e-class
Parameter estimation, standard errors and asymptotic theory
2.1 Standard Error Computation: Robustness and Clustering
Hypothesis testing: mathematical formulation and decision making

Related concepts

Main connections

Compatible notation

Mathematical sample in LaTeX

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

\lim_{N \to \infty} P(|\hat{\theta}_N - \theta| > \epsilon) = 0 \quad \forall \epsilon > 0 \quad \Longrightarrow \quad \hat{\theta}_N \xrightarrow{p} \theta

View LaTeX source

\lim_{N \to \infty} P(|\hat{\theta}_N - \theta| > \epsilon) = 0 \quad \forall \epsilon > 0 \quad \Longrightarrow \quad \hat{\theta}_N \xrightarrow{p} \theta