Assessing response quality by using multivariate control charts for numerical and categorical response quality indicators
J Jin, G Loosveldt - Journal of Survey Statistics and Methodology, 2021 - academic.oup.com
When assessing interview response quality to identify potentially low-quality interviews, both
numerical and categorical response quality indicators (mixed indicators) are usually …
numerical and categorical response quality indicators (mixed indicators) are usually …
A simple test to determine the contributors of fraction nonconforming shifts in a multivariate binomial process
CD Hou - Quality Engineering, 2023 - Taylor & Francis
The fraction nonconforming, which follows a binomial distribution, is one of the most critical
quality characteristics of attribute processes. In addition, the multivariate binomial process …
quality characteristics of attribute processes. In addition, the multivariate binomial process …
Phase‐I monitoring of log‐linear model‐based processes (a case study in health care: Kidney patients)
Processes with multiple correlated categorical quality characteristics are called multivariate
categorical processes. These processes are usually shown by contingency tables and are …
categorical processes. These processes are usually shown by contingency tables and are …
Phase II monitoring of the ordinal multivariate categorical processes
Statistical variables are divided into two categories: nominal and ordinal, both of which have
many uses. In some statistical process monitoring applications, quality of a process or …
many uses. In some statistical process monitoring applications, quality of a process or …
[PDF][PDF] New phase II control chart for monitoring ordinal contingency table based processes
New Phase II Control Chart for Monitoring Ordinal Contingency Table based Processes Page 1
15 New phase II control chart for monitoring ordinal contingency table based processes Ahmad …
15 New phase II control chart for monitoring ordinal contingency table based processes Ahmad …
An efficient charting scheme for multivariate categorical process with a sparse contingency table
D Xiang, X Pu, D Ding, W Liang - Journal of Quality Technology, 2021 - Taylor & Francis
Multivariate categorical quality characteristics, whose distribution can be displayed by a
contingency table, are routinely encountered in many applications. When most of the cell …
contingency table, are routinely encountered in many applications. When most of the cell …
Phase I Monitoring of Multivariate Ordinal based Processes: The MR and LRT Approaches (A real case study in drug dissolution process)
In some statistical processes monitoring (SPM) applications, relationship between two or
more ordinal factors is shown by an ordinal contingency table (OCT) and it is described by …
more ordinal factors is shown by an ordinal contingency table (OCT) and it is described by …
Data Consumption Analysis by Two Ordinal Multivariate Control Charts
The process quality is described by one or more important factors called multivariate
processes. Contingency tables used to demonstrate the relevance between these factors …
processes. Contingency tables used to demonstrate the relevance between these factors …
Estimating step and linear drift change point in contingency tables
M Ayoubi, M Ebadi - Journal of Quality Engineering and …, 2022 - journals.shahed.ac.ir
In many practical cases, product or process quality is defined by frequency table of two or
more qualitative variables. This frequency table is called contingency table. Monitoring the …
more qualitative variables. This frequency table is called contingency table. Monitoring the …
Simultaneous Monitoring of a Large Number of Heterogeneous Categorical Data Streams
K Bai, J Li - arXiv preprint arXiv:2112.09077, 2021 - arxiv.org
This article proposes a powerful scheme to monitor a large number of categorical data
streams with heterogeneous parameters or nature. The data streams considered may be …
streams with heterogeneous parameters or nature. The data streams considered may be …