Probability & Statistical Inference · Statistical Inference & Estimation

Point estimation · Statistical inference

Public introduction · full guide in Eikos

Introduction

What this guide covers

Introduction Statistical inference module

Overview

Topics covered

  • Introduction
  • Point Estimation: from the sample to the parameter
  • Introduction to statistical inference
  • point
  • By intervals
  • Conceptual framework: population, sample, parameter and statistics

Related concepts

Main connections

  • Variance & standard deviation
  • Maximum likelihood estimation
  • Bayes' theorem & priors
  • Mean & expected value
  • Epidemiological measures & risk ratios
  • Median & robust location

Compatible notation

Mathematical sample in LaTeX

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

Θ^=g(X1,X2,…,Xn)
View LaTeX source\hat\Theta = g(X_1, X_2, \dots, X_n)