Statistical Modeling & Regression · Non-Parametric Statistics

Nonparametric inference · Comparison of independent samples

Public introduction · full guide in Eikos

Introduction

What this guide covers

Introduction Treatise on biostatistics and theory of inference

Overview

Topics covered

  • Introduction
  • Non-Parametric Statistics: contrast of two independent samples
  • The philosophy of distribution-free inference
  • The paradigm of the comparison of two independent samples
  • 2.1 Formulation of General Hypotheses
  • 2.2 The Translation or Location Displacement Model

Related concepts

Main connections

  • Non-parametric tests
  • Median & robust location
  • Hypothesis testing
  • Variance & standard deviation
  • Permutation & exact tests
  • Mean & expected value

Compatible notation

Mathematical sample in LaTeX

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

H0:F(x)=G(x)∀x∈ℝ
View LaTeX sourceH_0: F(x) = G(x) \quad \forall \ x \in \mathbb{R}