Frontiers in Statistical Quality Control 7 [Paperback]

This volume treats the four main categories of Statistical Quality Control: General SQC Methodology, On-line Control including Sampling Inspection and Statistical Process Control, Off-line Control with Data Analysis and Experimental Design, and, fields related to Reliability. Experts with international reputation present their newest contributions.

1: General Aspects of Statistical Quality Control.- A Note on the Quality of Statistical Quality Control Procedures.- Statistical Decisions in Quality Audits  a Possibilistic Interpretation of Single Statistical Tests.- Dynamic Link Library and Electronic Book for Statistical Quality Control.- 2: On-Line Control.- Single Sampling Plans for Inspection by Variables under a Variance Component Situation.- Joint Determination of Economic Design of% MathType!MTEF!2!1!+-% feaagaart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn% hiov2DGi1BTfMBaeXatLxBI9gBamXvP5wqonvsaeHbd9wDYLwzYbqe% e0evGueE0jxyaibaieYlf9irVeeu0dXdh9vqqj-hEeeu0xXdbba9fr% Fj0-OqFfea0dXdd9vqaq-JfrVkFHe9pgea0dXdar-Jb9hs0dXdbPYx% e9vr0-vr0-vqpWqaaeaabiGaciaacaqabeaadaqaaqaaaOqaaeHbfv% 3ySLgzaGqbciqb-Hfayzaaraaaaa!3AD9!$$\bar X$$  Control Charts, Economic Production Quantity, and Production Run Length for a Deteriorating Production System.- The Robustness and Performance of CUSUM Control Charts Based on the Double-Exponential and Normal Distributions.- An Application of Confirmation Sample Control Chart in the High-Yield Processes and Its Economic Design.- Statistical Design of Attribute Charts for Monitoring and Continuous Improvement When Count Levels Are Low.- A Markov Approach to the Average Run Length of CUSUM Charts for an AR(1) Process.- Effective Monitoring of Processes with Parts Per Million Defective. A Hard Problem!.- On Monitoring Processes and Assessing Process Capability under a Hierarchical Model, Part 1.- On Monitoring Processes and Assessing Process Capability under a Hierarchical Model, Part 2.- SPC Monitoring and Varianl“.