[HTML][HTML] New statistical and machine learning based control charts with variable parameters for monitoring generalized linear model profiles
In this research, we develop three statistical based control charts: the Hotelling's T 2,
MEWMA (multivariate exponentially weighted moving average), and LRT (likelihood ratio …
MEWMA (multivariate exponentially weighted moving average), and LRT (likelihood ratio …
Employing machine learning techniques in monitoring autocorrelated profiles
In profile monitoring, it is usually assumed that the observations between or within each
profile are independent of each other. However, this assumption is often violated in …
profile are independent of each other. However, this assumption is often violated in …
An ensemble neural network framework for improving the detection ability of a base control chart in non-parametric profile monitoring
Profile monitoring is a challenging issue in statistical process control (SPC). It aims to use a
functional relationship between a response variable and one or more explanatory variable …
functional relationship between a response variable and one or more explanatory variable …
Enhancing the detection ability of control charts in profile monitoring by adding RBF ensemble model
While numerous contributions and applications have been extended in profile monitoring,
little attention has been paid to employing machine learning techniques in development of …
little attention has been paid to employing machine learning techniques in development of …
Combination of sequential sampling technique with GLR control charts for monitoring linear profiles based on the random explanatory variables
Control charts play a beneficial role in the manufacturing process by reduction of non-
compatible products and improving the final quality. In line with these aims, several adaptive …
compatible products and improving the final quality. In line with these aims, several adaptive …
Survey of cryptocurrency volatility prediction literature using artificial neural networks
SE Charandabi, K Kamyar - Business and Economic Research, 2022 - macrojournal.org
We start by presenting a short description of the concept of cryptocurrency and the history
behind it. Recently-developed literature that attempt to predict volatilities of cryptocurrency …
behind it. Recently-developed literature that attempt to predict volatilities of cryptocurrency …
A new multivariate extended homogeneously weighted moving average monitoring scheme incorporated with a support vector machine
L Pieters, JC Malela‐Majika, S Human… - Quality and …, 2023 - Wiley Online Library
Statistical process monitoring (SPM) provides a way, by means of monitoring schemes, to be
alerted when a process significantly changes, and to initiate investigations for potential …
alerted when a process significantly changes, and to initiate investigations for potential …
An adaptive multivariate EWMA mean chart with variable sample sizes and/or variable sampling intervals
New adaptive multivariate EWMA (AME) charts based on the variable sample size (VSS),
variable sampling interval (VSI) and variable sample size and sampling interval (VSSI) …
variable sampling interval (VSI) and variable sample size and sampling interval (VSSI) …
Variable parameters memory-type control charts for simultaneous monitoring of the mean and variability of multivariate multiple linear regression profiles
H Sabahno, M Eriksson - Scientific Reports, 2024 - nature.com
Variable parameters (VP) schemes are the most effective adaptive schemes in increasing
control charts' sensitivity to detect small to moderate shift sizes. In this paper, we develop …
control charts' sensitivity to detect small to moderate shift sizes. In this paper, we develop …
Data-driven surveillance of internet usage using a polynomial profile monitoring scheme
Control charts, which are one of the major tools in the Statistical Process Control (SPC)
domain, are used to monitor a process over time and improve the final quality of a product …
domain, are used to monitor a process over time and improve the final quality of a product …