Change-point detection of mean vector or covariance matrix shifts using multivariate individual observations

By Joe H. Sullivan, William H. Woodall. 2000

89 citations recorded by the source corpus.

Subfields: Medical Laboratory Technology, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/e885fd7bf56b4ffc9807833f62fea16c0ae86527

How researchers see this paper

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

In Medical Laboratory Technology

1. Joe H. Sullivan

In Statistics and Probability

1. Joe H. Sullivan
2. Zachary G. Stoumbos
3. William H. Woodall
4. Marion R. Reynolds
5. Subhabrata Chakraborti
6. Marien Alet Graham
7. Schalk William Human
8. Guido Masarotto

Citations in the corpus

• Step-Down Analysis for Changes in the Covariance Matrix and Other Parameters (2007, background): “…has focused on estimating the most likely location for the change (Nedumaran and Pignatiello (1998); Nedumaran, Pignatiello, and Calvin (2000); and Sullivan and Woodall (2000)) and stepdown analysis of the mean vector (Mason, Tracy, and Young (1995); Mason, Tracy, and Young (1997); Mason, Chou,…”
• Detection of Multiple Change Points from Clustering Individual Observations (2002, background): “Change points in the distribution of multivariate observations are also studied by Sullivan and Woodall (2000), and shifts in the regression parameters that define the relationship of multivariate observations are studied by Quandt (1958, 1960, and 1972).”