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[PDF] Top 20 A Study on Exponentially Weighted Moving Average Control Chart with Parametric and Nonparametric Approach

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A Study on Exponentially Weighted Moving Average Control Chart with Parametric and Nonparametric Approach

A Study on Exponentially Weighted Moving Average Control Chart with Parametric and Nonparametric Approach

... comparative study of performance of some parametric and nonparametric EWMA control charts for detecting the process mean shift is ...present study, Viz. the Parametric X -EWMA ... See full document

16

An Explicit Expression of Average Run Length of Exponentially Weighted Moving Average Control Chart with ARIMA (p,d,q)(P, D, Q)L Models

An Explicit Expression of Average Run Length of Exponentially Weighted Moving Average Control Chart with ARIMA (p,d,q)(P, D, Q)L Models

... Approach (MCA), the Integral Equation (IE) and the Monte Carlo simulation (MC) methods. Roberts [3] evaluated the ARL for EWMA control charts using the MC technique. Crowder [4] computed the ARL of an EWMA ... See full document

11

Diagnosis of bivariate process variation using an integrated 
		MSPC ANN 
		scheme

Diagnosis of bivariate process variation using an integrated MSPC ANN scheme

... process control schemes are only effective in rapid detection but suffer high false ...the control charting and pattern recognition technique has been investigated toward improving the quality ... See full document

7

The Assessment and Comparison of Performance Analysis Using Exponentially Weighted Moving Average and Cumulative Sum Scheme.

The Assessment and Comparison of Performance Analysis Using Exponentially Weighted Moving Average and Cumulative Sum Scheme.

... This research work is designed for monitoring some prominent road traffic offences in Kwara state of Nigeria .A historical value of the most prominent road traffic offences were used to construct the prediction interval ... See full document

12

Explicit Formula for Average Run Length of Double Moving Control Chart for INAR(1) Processes

Explicit Formula for Average Run Length of Double Moving Control Chart for INAR(1) Processes

... for control charts have been studied in previous literature. A basic approach that is often used to test other methods is Monte Carlo (MC) ...EWMA chart by using a finite-state Markov Chain ... See full document

11

Control Chart Performance in Monitoring Manufacturing Processes

Control Chart Performance in Monitoring Manufacturing Processes

... of control charts in the presence of autocorrelation has been explored by several ...Individuals Chart, a Cumulative Sum (CUSUM) and Exponentially Weighted Moving Average (EWMA) ... See full document

7

COMPARATIVE STUDY OF CUSUM WITH V-MASK AND EWMA CONTROL CHARTS FOR STRENGTH MONITORING OF READY MIXED CONCRETE

COMPARATIVE STUDY OF CUSUM WITH V-MASK AND EWMA CONTROL CHARTS FOR STRENGTH MONITORING OF READY MIXED CONCRETE

... or Exponentially Weighted Moving Average (EWMA) charts have to be used for the detection of small shifts as the standard deviation observed in the plants for case study is not very ... See full document

9

The impact of Weibull data and autocorrelation on the performance of the Shewhart and exponentially weighted moving average control charts   Pages 575-582
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The impact of Weibull data and autocorrelation on the performance of the Shewhart and exponentially weighted moving average control charts Pages 575-582 Download PDF

... Shewhart control chart was first constructed with autocorrelation ...the control limits were too tight with positive autocorrelation, thus resulting in larger numbers of false alarms, and that the ... See full document

8

Detecting the start of an influenza outbreak using exponentially weighted moving average charts

Detecting the start of an influenza outbreak using exponentially weighted moving average charts

... period moving average, MA(4), an approach advocated by Muscaltello et ...Shewhart approach where we simply compare the observed count each week with a ...Shewhart chart with a ... See full document

8

Nonparametric CUSUM Control Chart based on Wilcoxon Signed-Rank Statistics and Hodges Lehmann Estimator

Nonparametric CUSUM Control Chart based on Wilcoxon Signed-Rank Statistics and Hodges Lehmann Estimator

... process control (SPC) is widely used in the industry ...and control the process performed by reducing product variability and improve production efficiency (Parkash et ...2013). Control charts are ... See full document

6

Enhanced exponentially weighted moving average (EWMA) control chart performance with autocorrelation

Enhanced exponentially weighted moving average (EWMA) control chart performance with autocorrelation

... EWMA control limits in line with the worst-case design ...their study was limited only to the residual-based control chart for the statistical process of autocorrelated ... See full document

33

Statistical process control by quantile approach

Statistical process control by quantile approach

... multivariate control charts is applied using a quantile ...multivariate control charts almost dealing with the data as a normal data dependent on the central limit ...quantile approach were ... See full document

214

A Dynamic Adaptive Algorithm Based on HTTP Streaming Media Technology

A Dynamic Adaptive Algorithm Based on HTTP Streaming Media Technology

... With the Internet video traffic is getting bigger and bigger proportion. In this paper, through the research of the HTTP adaptive streaming, using EWMA (Weighted Moving-Average Exponentially) ... See full document

5

Modeling the Percentage of Poor People in Indonesia Using Spline Nonparametric Regression Approach

Modeling the Percentage of Poor People in Indonesia Using Spline Nonparametric Regression Approach

... Some researchers are intensively investigated poverty in Indonesia include [3] which models the poverty using Spline Bayesian approach. Then, [6] concluded that there are three causes of household poverty in ... See full document

6

A Novel Method of Interpreting the Relationship between Workload and Injury Occurrence: A Case Study

A Novel Method of Interpreting the Relationship between Workload and Injury Occurrence: A Case Study

... This case study will focus on ACWR and EWMA; secondary to referenced strong associations with injuries in rugby union cohorts (2, 3). From this, a novel ACWR:EWMA ratio will be used to exhibit any possible ... See full document

10

Pattern recognition for bivariate process mean shifts
using feature based artificial neural network

Pattern recognition for bivariate process mean shifts using feature based artificial neural network

... Identically and independently distributed LEEWMA Last value of exponentially weighted moving average LVQ Learning vector quantization MAT Mean x autocomelation 1MGUSUM Multivariate cumul[r] ... See full document

18

Latency aware IPv6 packet delivery scheme 
		based battery free WSN

Latency aware IPv6 packet delivery scheme based battery free WSN

... time, for this situation, battery is just used to control the label hardware. Then again, correspondingly to detached labels the power required for correspondence is gathered from the attractive field made by the ... See full document

6

Design optimization of ANN based pattern recognizer for multivariate quality control

Design optimization of ANN based pattern recognizer for multivariate quality control

... Yu et al. (2009) provided additional results based on three variables case as shown in Figure 2.5, which were designed to perform sequential process monitoring and diagnosis. Based on “one point out-of-control” ... See full document

39

Modelling Stock Prices with Exponential Weighted Moving Average (EWMA)

Modelling Stock Prices with Exponential Weighted Moving Average (EWMA)

... According to [8], there are a number of different methods for the calibration of the parameters of the EWMA model. An extensive overview of these approaches is given in [7]. [8] further emphasized the main ideas of these ... See full document

6

Study About the Minimum Value at Risk of Stock Index Futures Hedging Applying Exponentially Weighted Moving Average - Generalized Autoregressive Conditional Heteroskedasticity Model

Study About the Minimum Value at Risk of Stock Index Futures Hedging Applying Exponentially Weighted Moving Average - Generalized Autoregressive Conditional Heteroskedasticity Model

... previous exponentially weighted moving average (EWMA) model used to estimate the hedging ratio of Hu-Shen 300 stock index futures are unity using the decay factor in ... See full document

7

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