Advanced & Applied Topics · Statistical Quality Control & Six Sigma

Statistical quality control: methodological integration and computation

Public introduction · full guide in Eikos

Introduction

What this guide covers

Introduction Introduction Process Engineering · Data Science

Overview

Topics covered

  • Introduction
  • Statistical Quality Control: Integration and Computation
  • Epistemological and Mathematical Foundations of the SPC
  • Nature of variability: The Shewhart-Deming paradigm
  • The Loss Function of Genichi Taguchi
  • Shewhart Control Charts for Variables

Related concepts

Main connections

  • Calculus & differentiation
  • Variance & standard deviation
  • Mean & expected value
  • Time series & ARIMA
  • Binomial distribution
  • Analysis of variance (ANOVA)

Compatible notation

Mathematical sample in LaTeX

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

F(Yt∣Yt−1,Yt−2,…,Y1)=F(Yt)∀t∈𝕋
View LaTeX sourceF(Y_t \mid Y_{t-1}, Y_{t-2}, \dots, Y_1) = F(Y_t) \quad \forall t \in \mathbb{T}