Control Charts When the Observations Are Correlated.

Abstract

Traditionally, quality control charts have been designed with respect to statistical criteria only, and the control methodology is based on the independence and normality of serial samples. At first the production process is assumed to be characterized by a single in-control state. For example, if the process has one measurable quality characteristic, then the in-control state will correspond to the mean of this quality characteristic when no assignable cause is present. Keywords: Autoregressive models; Time series; Multivariate analysis.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1987
Accession Number
ADA186388

Entities

People

  • B. Q. Miao
  • Paruchuri R. Krishnaiah

Organizations

  • University of Pittsburgh

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Contracts
  • Covariance
  • Data Science
  • Data Sets
  • Governments
  • Information Science
  • Multivariate Analysis
  • National Governments
  • Noise
  • Observation
  • Quality Control
  • Scientific Research
  • Stationary Processes
  • United States Government
  • White Noise

Fields of Study

  • Mathematics

Readers

  • Mathematical Modeling and Probability Theory.
  • Regression Analysis.