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

This research introduces an enhanced exponentially weighted moving average (EWMA) control chart which is effective in detecting small and unnoticed shifts in monitoring process mean for autocorrelated data. The control chart is based on extension or modification of EWMA control chart statistic. The...

Full description

Bibliographic Details
Main Author:	Farouk, Abbas Umar
Format:	Thesis
Language:	English
Published:	2015
Subjects:	QA Mathematics
Online Access:	http://eprints.utm.my/54897/1/AbbasUmarFaroukPFS2015.pdf

Similar Items

A Study Of Exponentially Weighted Moving Average (Ewma) Methodologies
by: Lee, Toh Tong
Published: (1993)

Double Sampling Auxiliary Information Chart And Exponentially Weighted Moving Average Auxiliary Information Chart, Both Based On Variable Sampling Interval, And Measurement Errors Based Triple Sampling Chart
by: Umar, Adamu Abubakar
Published: (2022)

Robust multivariate exponential weighted moving average (MEWMA) control charts using distance-wise robust estimators
by: Faridzah, Jamaluddin
Published: (2020)

A Proposed Double Moving Average (Dma) Control Chart
by: Wong, Voon Hee
Published: (2007)

A Moving Average Control Chart For The Sample Mean Based On A Robust Estimator Of Scale
by: Jamel, Suffiah
Published: (2009)

Optimal statistical designs of multivariate EWMA and multivariate CUSUM charts based on average run length and median run leng
by: Lee, Ming Ha
Published: (2006)

Prioritized EWMA control chart for time-sensitive process
by: Abduljabbar, Ali Fadhil
Published: (2020)

New Single Variables Control Charts Based On The Double Ewma Statistics
by: Teh, Sin Yin
Published: (2012)

New Single Variables Control Charts Based On The Double Ewma Statistics
by: Teh, Sin Yin
Published: (2012)

A Proposed Double Moving Average (DMA) Control Chart [TS156.8. W872 2007 f rb].
by: Wong, Voon Hee
Published: (2007)

Control Charts With Estimated Process Parameters And A Proposed Coefficient Of Variation Chart
by: You , Huay Woon
Published: (2015)

Mixed and adaptive memory control charts for process monitoring
by: Zaman, Babar
Published: (2021)

An Optimal Design Of S2-Ewma Control Chart Based On Median Run Length (Mrl) Using Markov Chain Approach
by: Ong , Ker Hsin
Published: (2015)

Extensions Of Multivariate Coefficient Of Variation Control Charts
by: Ayyoub, Heba Nasr Awwad
Published: (2021)

Development Of Two New Auxiliary Information Control Charts, And Economic And Economic-Statistical Designs Of Several Auxiliary Information Control Charts
by: Ng Peh, Sang
Published: (2020)

A Study On Various Single Variable Control Charts
by: Lim, See Ken
Published: (2009)

An Improved Variable Sample Size And Sampling Interval S Control Chart
by: See, May Yen
Published: (2018)

Adaptive Control Charts For Monitoring The Univariate And Multivariate Coefficient Of Variation
by: Khaw, Khai Wah
Published: (2017)

Exponential Parameterized Cubic B-Spline Curves And Surfaces
by: Ammad, Muhammad
Published: (2020)

Evolutionary algorithms with average crossover and power heuristics for aquaculture diet formulation
by: Rosshairy, Abd Rahman
Published: (2014)

Robust estimation technique and robust autocorrelation diagnostic for multiple Linear Regression Model with autocorrelated errors
by: Lim, Hock Ann
Published: (2014)

Statistical Process Control Using Modified Robust Hotelling's T² Control Charts
by: Haddad, Firas Saleem Fares
Published: (2013)

Proposed Control Charts For Monitoring Cumulative Counts Of Conforming Items And Ratio Of Two Variables
by: Salihu, Abubakar Sani
Published: (2021)

Forecasting river discharge using autoregressive integrated moving-average model
by: Idris, Arifah Najwa Laila
Published: (2014)

Univariate And Multivariate Synthetic Control Charts For Monitoring The Process Mean Of Skewed Distributions
by: Atta, Abdu Mohammed Ali
Published: (2010)

Univariate And Multivariate Synthetic Control Charts For Monitoring The Process Mean Of Skewed Distributions
by: Ali Atta, Abdu Mohammed
Published: (2010)

Univariate And Multivariate Synthetic Control Charts For Monitoring The Process Mean Of Skewed Distributions
by: Ali Atta, Abdu Mohammed
Published: (2010)

Technical analysis efficiency enhancement in moving average indicator through artificial neural network / Muhamad Sukor Jaafar
by: Jaafar, Muhamad Sukor
Published: (2017)

New Variable Parameters Chart Based On Auxiliary Information And Multivariate Charts For Short Production Runs
by: Chong, Nger Ling
Published: (2019)

New Variable Parameters Chart Based On Auxiliary Information And Multivariate Charts For Short Production Runs
by: Chong, Nger Ling
Published: (2019)

Optimal Designs Of Univariate And Multivariate Synthetic Control Charts Based On Median Run Length
by: Wong, Voon Hee
Published: (2012)

Robust control charts via winsorized and trimmed estimators
by: Ayu, Abdul Rahman
Published: (2020)

A Proposed Single EWMA Chart Combining The X And R Charts For A Joint Monitoring Of The Process Mean And Variance [TS156. Y46 2008 f rb].
by: Yeong, Kah Wai
Published: (2008)

Poisson Transmuted Exponential Distribution For Count Data With Skewed, Dispersed And Excess Zero
by: Ademola Abiodun, Adetunji
Published: (2024)

Enhanced single exponential smoothing technique for extreme data
by: Noor Shahifah, Muhamad
Published: (2015)

Development Of Robust Memory-Type Charts Under Repetitive Sampling And Triple Sampling Charts For The Gamma Process
by: Mahmood, Yasar
Published: (2024)

Modified moving-average crossover trading strategy: evidence in Malaysia equity market
by: Soh, Chuen Yean
Published: (2016)

Mixed convection flow of a two-phase dusty fluid and dusty jeffrey fluid due to an exponentially stretching sheet
by: Izani, Siti Nur Haseela
Published: (2022)

Framework for lung images classification based on weighted averaging ensemble and enhanced edge detection techniques
by: Kieu, Stefanus Tao Hwa
Published: (2023)

Development Of Variable Sampling Interval Run Sum T Chart And Triple Sampling X ̅ Chart With Estimated Process Parameters
by: Nahar Mim, Faijun
Published: (2022)