Results 21 to 30 of about 10,496,278 (261)

The GLRT for statistical process control of autocorrelated processes [PDF]

open access: yesIIE Transactions, 1999
This paper presents an on-line Statistical Process Control (SPC) technique, based on a Generalized Likelihood Ratio Test (GLRT), for detecting and estimating mean shifts in autocorrelated processes that follow a normally distributed Autoregressive Integrated Moving Average (ARIMA) model.
Apley, Daniel W., Shi, Jianjun
openaire   +2 more sources

Process incapability index for autocorrelated data in the presence of measurement errors

open access: yes, 2023
Process incapability index is a useful tool for measuring the performance of a process to maintain the quality of products. In this article, we discuss some statistical properties of the estimator of process incapability index when process observations ...
Anis, M. Z.   +3 more
core   +1 more source

Autocorrelation of the susceptible-infected-susceptible process on networks [PDF]

open access: yesPhysical Review E, 2018
In this paper, we focus on the autocorrelation of the susceptible-infected-susceptible (SIS) process on networks. The N-intertwined mean-field approximation (NIMFA) is applied to calculate the autocorrelation properties of the exact SIS process. We derive the autocorrelation of the infection state of each node and the fraction of infected nodes both in
Liu, Q. (author)   +1 more
openaire   +4 more sources

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

open access: yesProduction, 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

open access: yesMathematics
Control chart pattern recognition was initially focused on single patterns with the assumption of normal, independent, and identical distribution.
Cang Wu   +5 more
doaj   +1 more source

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

open access: yesSensors, 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   +3 more
doaj   +1 more source

ON THE AUTOCORRELATION FUNCTION OF A BRP PROCESS

open access: yesDoboku Gakkai Ronbunshu, 1984
The autocorrelation function of a binary relaxed Poisson process is derived. The process is defined as the following series of transformations of a nonhomogeneous Poisson process: 1) the process of energy bursts (a nonhomogeneous Poisson process), 2) relaxation process of the point process, and 3) its binary transformation.For a stationary BRP process,
Takeharu ETOH, Yasuhiro HAYASHI
openaire   +2 more sources

Monitoring autocorrelated process: a geometric brownian motion process approach

open access: yes, 2013
Autocorrelated process control is common in today's modern industrial process control practice. The current practice of autocorrelated process control is to eliminate the autocorrelation by using an appropriate model such as Box-Jenkins models or other ...
Maman A. Djauhari   +3 more
core   +1 more source

Cost comparisons of modified X̅ chart for autocorrelated observations

open access: yesInternational 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

General simulation algorithm for autocorrelated binary processes [PDF]

open access: yesPhysical Review E, 2017
The apparent ubiquity of binary random processes in physics and many other fields has attracted considerable attention from the modeling community. However, generation of binary sequences with prescribed autocorrelation is a challenging task owing to the discrete nature of the marginal distributions, which makes the application of classical spectral ...
Serinaldi F, Lombardo F
openaire   +3 more sources

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