Profile Monitoring for Mixed Model Data
The initial portion of this research focuses on appropriate parameter estimators within a general context of multivariate quality control. The goal of Phase I analysis of multivariate quality control data is to identify multivariate outliers and step changes so that the estimated control limits are...
Main Author: | Jensen, Willis Aaron |
---|---|
Other Authors: | Statistics |
Format: | Others |
Published: |
Virginia Tech
2014
|
Subjects: | |
Online Access: | http://hdl.handle.net/10919/27054 http://scholar.lib.vt.edu/theses/available/etd-04202006-134123/ |
Similar Items
-
An Approach to Estimation and Selection in Linear Mixed Models with Missing Data
by: Lee, Yi-Ching
Published: (2019) -
Outlier Detection in Observation at Multivariate Linear Models with Likelihood Displacement Statistic-Lagrange Method
by: Makkulau Makkulau, et al.
Published: (2011-01-01) -
A comparative study of correlational outlier detection metrics
by: Ritter, Paul Muse, 1961-
Published: (2012) -
Local influence and multivariate outliers.
Published: (1999) -
Detection of location shift outliers with ordinal categorical variables.
Published: (2000)