Results 91 to 100 of about 13,618 (198)

An adaptive multivariate functional EWMA control chart

Journal of Quality Technology
In many modern industrial scenarios, the measurements of the quality characteristics of interest are often required to be represented as functional data or profiles. This motivates the growing interest in extending traditional univariate statistical process monitoring (SPM) schemes to the functional data setting. This article proposes a new SPM scheme,
Capezza, Christian, Capizzi, Giovanna, Centofanti, Fabio, Lepore, Antonio, Palumbo, Biagio   +4 more
openaire   +3 more sources

On detecting jumps in time series: Nonparametric setting [PDF]

Motivated by applications in statistical quality control and signal analysis, we propose a sequential detection procedure which is designed to detect structural changes, in particular jumps, immediately.
Pawlak, Mirek, Rafajlowicz, Ewaryst, Steland, Ansgar   +2 more
core  

New extended exponentially weighted moving average control chart for monitoring process mean

Heliyon
In this article, we develop a new control chart based on the Exponentially Weighted Moving Average (EWMA) statistic, termed the New Extended Exponentially Weighted Moving Average (NEEWMA) statistic, designed to recognize slight changes in the process ...
Hina Javed, Muhammad Ismail, Nadia Saeed
doaj   +1 more source

COMPARISON OF EXPONENTIALLY WEIGHTED MOVING AVERAGE CONTROL CHART WITH HOMOGENEOUSLY WEIGHTED MOVING AVERAGE CONTROL CHARTS AND ITS APPLICATION

Barekeng
The Exponentially Weighted Moving Average (EWMA) control chart is a widely used memory-type control chart known for detecting small shifts in process means.
Erna Tri Herdiani, Mustabsyirah Mustabsyirah   +1 more
doaj   +1 more source

Control charts for monitoring the mean of AR(1) data [PDF]

New product development is one of the most powerful but difficult activities in business. It is also a very important factor affecting final product quality. There are many techniques available for new product development.
Wieringa, J.E.
core   +1 more source

Sensitivity analysis of volatility: a new tool for risk management [PDF]

The extension of GARCH models to the multivariate setting has been fraught with difficulties. In this paper, we suggest to work with univariate portfolio GARCH models.
Ceci, Vladimiro, Manganelli, Simone, Vecchiato, Walter   +2 more
core  

Monitoring process mean with a new EWMA control chart Um novo gráfico de controle EWMA para monitoramento da média de processo

Production, 2011
In practice, sometimes the process data did not come from a known population distribution. So the commonly used Shewhart variables control charts are not suitable since their performance could not be properly evaluated.
Yang Su-Fen, Tsai Wen-Chi, Huang Tzee-Ming, Yang Chi-Chin, Cheng Smiley   +4 more
doaj  

The Sign RCA Models: Comparing Predictive Accuracy of VaR Measures [PDF]

Evaluating Value at Risk (VaR) methods of predictive accuracy in an objective and effective framework is important for both efficient capital allocation and loss prediction.
Joanna Górka
core  

Mode-Suppression: A Simple, Stable and Scalable Chunk-Sharing Algorithm for P2P Networks

, 2019
The ability of a P2P network to scale its throughput up in proportion to the arrival rate of peers has recently been shown to be crucially dependent on the chunk sharing policy employed.
Parag, Parimal, Raja, Vamseedhar Reddyvari, Shakkottai, Srinivas   +2 more
core  

THE MIXED UNIVARIATE CONTROL CHART EWMA AND CUSUM FOR FLAVOUR PRODUCTION QUALITY PROCESS MONITORING

Jurnal Matematika UNAND
A control chart is an important statistical technique used to monitor the average quality of a process or dispersion. Shewhart control chart is used to detect larger disturbances in process parameters.
Surya Puspita Sari, Maiyastri Maiyastri, Dodi Devianto   +2 more
doaj   +1 more source