Results 31 to 40 of about 30,999 (254)

Recognition of Process Disturbances for an SPC/EPC Stochastic System Using Support Vector Machine and Artificial Neural Network Approaches

Abstract and Applied Analysis, 2014
Because of the excellent performance on monitoring and controlling an autocorrelated process, the integration of statistical process control (SPC) and engineering process control (EPC) has drawn considerable attention in recent years.
Yuehjen E. Shao
doaj   +1 more source

Bayesian Cramér-Rao Lower Bounds for Prediction and Smoothing of Nonlinear TASD Systems

Sensors, 2022
The performance evaluation of state estimators for nonlinear regular systems, in which the current measurement only depends on the current state directly, has been widely studied using the Bayesian Cramér-Rao lower bound (BCRLB).
Xianqing Li, Zhansheng Duan, Qi Tang, Mahendra Mallick   +3 more
doaj   +1 more source

Procedimentos inferenciais em índices de capacidade para dados autocorrelacionados via bootstrap Inferential procedures for capability indices in autocorrelated data by bootstrap

Production, 2003
Este artigo apresenta procedimentos inferenciais para construir intervalos de confiança em índices de capacidade Cp e Cpk através de técnicas de reamostragem (bootstrap) quando os dados provenientes de processos normais são autocorrelacionados.This paper
Alberto W. Ramos, Linda Lee Ho
doaj   +1 more source

A Novel EMD-1DCNN Framework for Recognizing Concurrent Control Chart Patterns in Autocorrelated Processes

Mathematics
Control chart pattern recognition was initially focused on single patterns with the assumption of normal, independent, and identical distribution.
Cang Wu, Huijuan Hou, Chunli Lei, Mingliang Wang, Yongjun Du, Wenpo Huang   +5 more
doaj   +1 more source

Multivariate control charts based on Bayesian state space models

, 2006
This paper develops a new multivariate control charting method for vector autocorrelated and serially correlated processes. The main idea is to propose a Bayesian multivariate local level model, which is a generalization of the Shewhart-Deming model for ...
Ameen, Ameen, Bersimis, Borror, Box, Brown, Chatfield, Cheng, Costa, de Magalhães, del Castillo, Deming, Durbin, Dyer, Goodwin, Gupta, Harris, Jiang, Kalgonda, Kourti, Liu, Lowry, Maravelakis, Mason, Montgomery, Montgomery, Noorossana, Pan, Pan, Salvador, Schmid, Schmid, Shiau, Sullivan, Surtihadi, Tagaras, Tagaras, Tracy, Triantafyllopoulos, Triantafyllopoulos, Triantafyllopoulos, Triantafyllopoulos, VanBrackle, Vargas, Vasilopoulos, Watkins, West, Ye, Yeh, Yeh   +49 more
core   +1 more source

Long memory in German energy price indices [PDF]

, 2012
This study examines the long-memory properties of German energy price indices (specifically, import and export prices, as well as producer and consumer prices) for hard coal, lignite, mineral oil and natural gas adopting a fractional integration ...
Barros, CP, Caporale, GM, Gil-Alana, LA
core   +2 more sources

Cost comparisons of modified X̅ chart for autocorrelated observations

International Journal of Metrology and Quality Engineering, 2016
This paper presents the economic design of modified X̅ chart for autocorrelated data and comparison with the economic design of Shewhart’s X̅ chart.
Prajapati D. R.
doaj   +1 more source

On the scaling ranges of detrended fluctuation analysis for long-memory correlated short series of data

, 2012
We examine the scaling regime for the detrended fluctuation analysis (DFA) - the most popular method used to detect the presence of long memory in data and the fractal structure of time series. First, the scaling range for DFA is studied for uncorrelated
Grech, Dariusz, Mazur, Zygmunt
core   +1 more source

The spread of non‐native species

Biological Reviews, EarlyView.
ABSTRACT The global redistribution of species through human agency is one of the defining ecological signatures of the Anthropocene, with biological invasions reshaping biodiversity patterns, ecosystem processes and services, and species interactions globally.
Phillip J. Haubrock, Ali Serhan Tarkan, Irene Martín‐Forés, Stelios Katsanevakis, Ronaldo Sousa, Ismael Soto, Andy J. Green, Antonín Kouba, Teun Everts, Victoria Dominguez Almela, Nadège Belouard, Cang Hui, Jamie Bojko, Victor Deklerck, Margaux Boeraeve, Franz Essl, J. Robert Britton   +16 more
wiley   +1 more source

Robust Recursive Estimation for Uncertain Systems With Delayed Measurements and Noises

IEEE Access, 2020
In this article, the problem of robust recursive estimation is studied for a class of uncertain systems with delayed measurements and delayed noises. The system model is subject to stochastic uncertainties which can be described by multiplicative noises.
Jianxin Feng, Rongni Yang, Haiying Liu, Biao Xu   +3 more
doaj   +1 more source