Economic and Economic Statistical Designs for MEWMA Control Charts

By K. Linderman, T. Love. 2000

90 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/8230a473bd2c3b3c535e1b1026fb1cd5ad76001c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

1. Arthur B. Yeh
2. Chien-Wei Wu
3. Longcheen Huwang
4. Shing I. Chang
5. Guoxi Zhang
6. Kaibo Wang
7. Bo Li
8. Jeffrey E. Jarrett

Citations in the corpus

• A multivariate EWMA control chart for monitoring process variability with individual observations (2005, background): “See, for example, the works by Jackson (1980), Alt (1984), Woodall and Ncube (1985), Healy (1987), Alt and Smith (1988), Crosier (1988), Pignatiello and Runger (1990), Hawkins (1991, 1993), Lowry et al. (1992), Runger and Prabhu (1996), Prabhu and Runger (1997) and Linderman and Love (2000).”
• A likelihood-ratio-based EWMA control chart for monitoring variability of multivariate normal processes (2004, background): “…(1990), Hawkins (1991, 1993) for accounts of Multivariate Cumulative SUM (MCUSUM) control charts, and Lowry et al. (1992), Runger and Prabhu (1996), Prabhu and Runger (1997), and Linderman and Love (2000) for accounts of Multivariate Exponentially Weighted Moving Averages (MEWMA) control charts.”