Eikosstatistics & data science

Advanced & Applied Topics · Statistical Quality Control & Six Sigma

Statistical quality control — Design of experiments (DoE)

Public introduction · full guide in Eikos

Introduction

What this guide covers

Introduction Introduction Advanced Industrial Statistics

Overview

Topics covered

  • Introduction
  • Design of Experiments Applied to Quality Improvement
  • DoE Philosophy and Theoretical Context
  • The Process Transfer Function
  • DoE Fundamental Statistical Principles
  • 2.1 Replication

Related concepts

Main connections

  • Variance & standard deviation
  • Analysis of variance (ANOVA)
  • Design of experiments (DoE)
  • Mean & expected value
  • Residual analysis & diagnostics
  • Linear algebra & matrices

Compatible notation

Mathematical sample in LaTeX

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

Y=f(x1,x2,…,xk,z1,z2,…,zq)+ε
View LaTeX sourceY = f(x_1, x_2, \ldots, x_k, z_1, z_2, \ldots, z_q) + \varepsilon