Experimental Design & Data Collection · Experimental Design & ANOVA

Design of experiments: Robust and optimal designs · Biostatistics and industrial statistics

Public introduction · full guide in Eikos

Introduction

What this guide covers

Introduction Introduction Inferential Statistics · Advanced Reference Manual

Overview

Topics covered

  • Introduction
  • Robust and Optimal Designs
  • Robustness Paradigm: Taguchi Philosophy and Loss Function
  • The Taguchi Quadratic Loss Function
  • Typology of Quality Characteristics and their Loss Functions
  • Factor Structuring: Control and Noise

Related concepts

Main connections

  • Linear algebra & matrices
  • Variance & standard deviation
  • Calculus & differentiation
  • Mean & expected value
  • Mathematical expectation & moments
  • Linear regression

Compatible notation

Mathematical sample in LaTeX

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

L(Y)=k(Y−m)2
View LaTeX sourceL(Y) = k(Y - m)^2