Directional Control Schemes for Multivariate Categorical Processes
نویسندگان
چکیده
منابع مشابه
Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data
Sample code Thickness Unif. Cell Size Unif. Cell Shape Marginal Adhesion Epithelial Cell Size Bare Nuclei Bland Chromatin Normal Nucleoli Mitoses Class 1000025 5 1 1 1 2 1 3 1 1 Benign 1002945 5 4 4 5 7 10 3 2 1 Benign 1015425 3 1 1 1 2 2 3 1 1 Benign 1016277 6 8 8 1 3 4 3 7 1 Benign 1017023 4 1 1 3 2 1 3 1 1 Benign 1017122 8 10 10 8 7 10 9 7 1 Malignant 1018099 1 1 1 1 2 10 3 1 1 Benign 101856...
متن کاملA Directional Multivariate Sign EWMA Control Chart
In many applications the shift directions of observation vectors are limited, which allows focusing detection power on a limited subspace with improved sensitivity. This paper develops a new multivariate nonparametric statistical process control chart for monitoring location parameters, which is based on integrating a directional multivariate spatial-sign test and exponentially weighted moving ...
متن کاملLinear Functions Preserving Multivariate and Directional Majorization
Let V and W be two real vector spaces and let &sim be a relation on both V and W. A linear function T : V → W is said to be a linear preserver (respectively strong linear preserver) of &sim if Tx &sim Ty whenever x &sim y (respectively Tx &sim Ty if and only if x &sim y). In this paper we characterize all linear functions T : M_{n,m} → M_{n,k} which preserve or strongly preserve multivariate an...
متن کاملTHREE SCHEMES FOR ACTIVE CONTROL OF THE PLANAR FRAME
Optimal locations of the actuators for frame active control are investigated in this article. The aim is to minimize the structural drifts by employing several actuators. By utilizing genetic algorithm, the appropriate locations of the actuators are determined. They should be placed in locations where they can minimize the maximum structural drift. To explore the capability of the proposed tech...
متن کاملStatistical Process Control of Multivariate Processes
With process computers routinely collecting measurements on large numbers of process variables, multivariate statistical methods for the analysis, monitoring and diagnosis of process operating performance have received increasing attention. Extensions of traditional univariate Shewhart, CUSUM and EWMA control charts to multivariate quality control situations are based on Hotelling's T 2 statist...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Quality Technology
سال: 2012
ISSN: 0022-4065,2575-6230
DOI: 10.1080/00224065.2012.11917889