The computation of average run length and average time to signal: an overview
Control charts are widely used in industries to monitor a process for quality improvement.
Evaluation of the average run length (ARL) or average time to signal (ATS) plays an …
Evaluation of the average run length (ARL) or average time to signal (ATS) plays an …
A survey on multivariate adaptive control charts: Recent developments and extensions
In the world of business, quality improvement is of high importance for the manufacturing
industries. Statistical process control via control charts provides an online monitoring of the …
industries. Statistical process control via control charts provides an online monitoring of the …
An adaptive multivariate EWMA chart
The adaptive multivariate EWMA (AMEWMA) and adaptive multivariate CUSUM
(AMCUSUM) charts are recently proposed as they provide an overall good detection over a …
(AMCUSUM) charts are recently proposed as they provide an overall good detection over a …
Map-based long term motion prediction for vehicles in traffic environments
D Petrich, T Dang, D Kasper, G Breuel… - 16th International IEEE …, 2013 - ieeexplore.ieee.org
Depending on driver intention and current motion state of vehicle, an infinite set of possible
future trajectories exists. In this paper we present a stochastic filter which is able to select a …
future trajectories exists. In this paper we present a stochastic filter which is able to select a …
Variable selection‐based multivariate cumulative sum control chart
High‐dimensional applications pose a significant challenge to the capability of conventional
statistical process control techniques in detecting abnormal changes in process parameters …
statistical process control techniques in detecting abnormal changes in process parameters …
Transactional auto scaler: Elastic scaling of replicated in-memory transactional data grids
In this article, we introduce TAS (Transactional Auto Scaler), a system for automating the
elastic scaling of replicated in-memory transactional data grids, such as NoSQL data stores …
elastic scaling of replicated in-memory transactional data grids, such as NoSQL data stores …
Optimal CUSUM and adaptive CUSUM charts with auxiliary information for process mean
S Abbasi, A Haq - Journal of Statistical Computation and …, 2019 - Taylor & Francis
The CUSUM chart is good enough to detect small-to-moderate shifts in the process
parameter (s) as it can be optimally designed to detect a particular shift size. The adaptive …
parameter (s) as it can be optimally designed to detect a particular shift size. The adaptive …
One-sided and two one-sided MEWMA charts for monitoring process mean
A Haq - Journal of Statistical Computation and Simulation, 2020 - Taylor & Francis
This study focuses on the development of new one-sided and two one-sided MEWMA charts
for monitoring the mean of a multivariate normal process. The one-sided MEWMA chart …
for monitoring the mean of a multivariate normal process. The one-sided MEWMA chart …
Enhanced adaptive multivariate EWMA and CUSUM charts for process mean
The multivariate charts are mostly used to simultaneously monitor several quality
characteristics in manufacturing processes. In this study, we enhance the sensitivities of the …
characteristics in manufacturing processes. In this study, we enhance the sensitivities of the …
Adaptive MEWMA charts for univariate and multivariate simple linear profiles
A Haq - Communications in Statistics-Theory and Methods, 2022 - Taylor & Francis
The adaptive multivariate EWMA (MEWMA) charts have been widely recognized as an
efficient process monitoring tool because of their ability to quickly respond against the shift of …
efficient process monitoring tool because of their ability to quickly respond against the shift of …