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Response Surface Methodology: Process and Product in Optimization Using Designed Experiments
TLDR
This book discusses two-level factorial and fractional factorial designs, several aspects of empirical modeling with regression techniques, mixture experiments and robust design techniques. Expand
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Response surface methodology
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Introduction to Statistical Quality Control
TLDR
Methods and Philosophy of Statistical Process Control.BASIC METHODS OF STATISTICAL PROCESS CONTROL AND CAPABILITY ANALYSIS. Expand
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Statistical quality control : a modern introduction
Part I: Introduction Chapter 1: Quality Improvement in the Modern Business Environment Chapter 2: The DMAIC Process Part II: Statistical Methods Useful in Quality Control and Improvement Chapter 3:Expand
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A review of multivariate control charts
A review of the literature on control charts for multivariate quality control (MQC) is given, with a concentration on developments occurring since the mid-1980s. Multivariate cumulative sum (CUSUM)Expand
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Research Issues and Ideas in Statistical Process Control
TLDR
An overview is given of current research on control charting methods for process monitoring and improvement. Expand
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Introduction to Time Series Analysis and Forecasting
TLDR
A Statistical Approach to Time Series Analysis and Forecasting 1. Introduction to Forecasting. 1.1 The Nature and uses of Forecasts. 2. Statistics Background for Forecasting . 2.2 Some Examples of Time Series.2.3 Statistical Inference in Linear Regression. 3. Exponential Smoothers and ARIMA Models . Expand
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Applied Statistics and Probability for Engineers
Montgomery and Runger's bestselling engineering statistics text provides a practical approach oriented to engineering as well as chemical and physical sciences. By providing unique problem sets thatExpand
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Robustness of the EWMA Control Chart to Non-Normality
TLDR
Rational subgroups of size n = 1 are frequently encountered in process monitoring and control. Expand
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Some Statistical Process Control Methods for Autocorrelated Data
TLDR
Traditionally, control charts are developed assuming that the sequence of process observations to which they are applied are uncorrelated. Expand
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