Development Of Variable Sampling Interval Run Sum T Chart And Triple Sampling X ̅ Chart With Estimated Process Parameters

The Shewhart x ̅ control chart is a useful chart in process monitoring. However, the Shewhart x ̅ chart’s performance is significantly affected if the process standard deviation is erroneously estimated. To circumvent this problem, the t chart is commonly used as an alternative to the Shewhart x...

Full description

Bibliographic Details
Main Author:	Nahar Mim, Faijun
Format:	Thesis
Language:	English
Published:	2022
Subjects:	QA1 Mathematics (General)
Online Access:	http://eprints.usm.my/59156/
Abstract	Abstract here

Similar Items

New Variable Sampling Interval Run Sum Standard Deviation And Run Sum Multivariate Coefficient Of Variation Charts
by: Lim, Alex Jun Xiong
Published: (2017)

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)

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

Economic And Economic-Statistical Designs Of Variable Sample Size And Sampling Interval Coefficient Of Variation Chart And Development Of Variable Sample Size Multivariate Coefficient Of Variation Chart For Short Runs
by: Chew, Yiying
Published: (2023)

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

Optimal Designs Of The Double Sampling X Chart Based On Parameter Estimation
by: Teoh, Wei Lin
Published: (2013)

Optimal Designs Of The Double Sampling X Chart Based On Parameter Estimation
by: Teoh, Wei Lin
Published: (2013)

Proposed Synthetic And Group Runs Control Charts Based On Runs Rules And Double Sampling Np Methods X
by: Chong , Zhi Lin
Published: (2015)

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)

Side Sensitive Group Runs Double Sampling Chart For Detecting Mean Shifts
by: Tan, Eng Keng
Published: (2020)

New Univariate Synthetic Double Sampling X And Multivariate Synthetic Double Sampling T2 Control Charts
by: Lee, How Chinh
Published: (2017)

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

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

A Study On Q Chart For Short Runs
by: Moslim, Nor Hafizah
Published: (2009)

Adaptive charts for estimated parameters and coefficient of variation / Masthura Yahaya
by: Masthura , Yahaya
Published: (2023)

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

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

Enhanced univariate and multivariate control charts via outliers� screening technique, robust estimators and varying sample size schemes
by: Ishaq Adeyanju Raji
Published: (2025)

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

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

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)

Development of fuzzy control charts for monitoring manufacturing process with uncertain and vague observations
by: Jahromi, Seyed Mojtaba Zabihinpour
Published: (2015)

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)

DEVELOPMENT OF TIME-WEIGHTED CONTROL CHARTS BASED ON INTERVAL TYPE-2 FUZZY SETS
by: NUR HIDAYAH MOHD RAZALI
Published: (2023)

Control chart patterns recognition using run rules and fuzzy classifiers considering limited data
by: Munawar Zaman
Published: (2025)

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)

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

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

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

High breakdown estimator to robustify phase II control charts
by: Mohammadi, Mandana
Published: (2011)

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 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)

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

Estimation Of Run-Up Amplification Factors For Penang
by: Lim, Yong Hu
Published: (2017)

Multivariate process variability monitoring for general sample size
by: Revathi Sagadavan
Published: (2025)

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