ASQ - Statistics Division

A Gentle Introduction to the Analysis of Sequential Data

Abstract: Sequential data are collected on a manufacturing process by sensors. In order to predict the future process state and to control the process on target, we need to understand the process characteristics as exhibited in the sequential observations and to decompose the process variation to a systematic pattern and a random noise. In this mini-paper, we illustrate some basic concepts, such as autocorrelation and nonstationarity, through examples and demonstrate the ideas behind some simple filtering and smoothing techniques.

Keywords: Time Series Data - Autocorrelation - Stationary - Smoothing - Automatic process control

Already a member? Access this Content

You will need Adobe Reader to view this PDF document.
Download the free Reader from Adobe

  • Print this page
  • Save this page

Average Rating

Rating

Out of 0 Ratings
Rate this item

View comments
Add comments
Comments FAQ

ASQ News