SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Flexible Control Limits for Interval-Valued Data Using Mixture Probability Distributions
9 references·0 citing·46 second hop
Flexible Control Limits for Interval-Valued Data Using Mixture Probability Distributions (2024)Flexible Control Limits for Interval-Valu…A new variable control chart using neutrosophic interval method-an application to automobile industry (2019)A new variable control chart …Monitoring process control chart with finite mixture probability distribution (2017)Monitoring process control ch…Control chart for high-quality processes based on Six Sigma quality (2016)Control chart for high-qualit…Another Look at the EWMA Control Chart with Estimated Parameters (2015)Another Look at the EWMA Cont…A new standardized interval-valued chart for fuzzy data (2014)A new standardized interval-v…Design and Analysis of Control Charts for Standard Deviation with Estimated Parameters (2011)Design and Analysis of Contro…An Evaluation of a GLR Control Chart for Monitoring the Process Mean (2010)An Evaluation of a GLR Contro…SKEW NORMAL DISTRIBUTION AND THE DESIGN OF CONTROL CHARTS FOR AVERAGES (2007)SKEW NORMAL DISTRIBUTION AND …A Group Runs Control Chart for Detecting Shifts in the Process Mean (2004)A Group Runs Control Chart fo…The Effect of Sample Size on Estimated Limits forXandXControl Charts (1993)Research Issues and Ideas in Statistical Process Control (1999)Effects of Parameter Estimation on Control Chart Properties: A Literature Review (2006)On efficient use of auxiliary information for control charting in SPC (2013)Robust CUSUM Control Charting (2013)Effect of the Amount of Phase I Data on the Phase II Performance ofS2andSControl Charts (2015)CONTINUOUS INSPECTION SCHEMES (1954)Procedures for Reacting to a Change in Distribution (1971)Cumulative Sum Charts and Charting for Quality Improvement (1998)A comparison study of effectiveness and robustness of control charts for monitoring process mean (2011)A Spatiotemporal Method for the Monitoring of Image Data (2012)An image-based multivariate generalized likelihood ratio control chart for detecting and diagnosing multiple faults in manufactured products (2015)Control Chart Tests Based on Geometric Moving Averages (1959)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Introduction to Statistical Quality Control (1992)A Reevaluation of the Adaptive Exponentially Weighted Moving Average Control Chart When Parameters are Estimated (2014)Guaranteed conditional performance of theS2control chart with estimated parameters (2015)The Difficulty in Designing Shewhart X and X Control Charts with Estimated Parameters (2015)XandRControl Charts for Skewed Populations (1995)Statistical Methods for Quality Improvement (2000)Introduction to Statistical Quality Control (2005)A Multivariate Synthetic Control Chart for Monitoring the Process Mean Vector of Skewed Populations Using Weighted Standard Deviations (2009)The Design of andRControl Charts for Skew Normal Distributed Data (2014)An integrated approach for the optimization of tolerance design and quality cost (2015)Fuzzy sets (1965)Fuzzy sets (1996)An alternative approach to fuzzy control charts: Direct fuzzy approach (2006)Control Chart Tests Based on Geometric Moving Averages (2000)A Side Sensitive Group Runs Control Chart for Detecting Shifts in the Process Mean (2006)Synthetic-Type Control Charts for Time-Between-Events Monitoring (2013)An overview of synthetic‐type control charts: Techniques and methodology (2019)Using Control Charts to Monitor Process and Product Quality Profiles (2004)Similarities and differences between TQM, six sigma and lean (2006)Bayesian networks for statistical process control with attribute data (2019)Six Sigma quality evaluation of life test data based on Weibull distribution (2020)Construction of Six Sigma-based control chart for interval-valued data (2024)Kollár Ádám Ferenc levelezése (2000)Introduction to Statistical Quality Control (2007)Improvement of the statistical process control through an enhanced test of normality (2018)Performance evaluation of DEWMA3 in phase-II for capturing changes in simple linear profiles based on run rule mechanism (2023)Tolerance limits for mixture‐of‐normal distributions with application to COVID ‐19 data (2023)A bibliometric analysis of neutrosophic set: two decades review from 1998 to 2017 (2018)Failure Mode and Effect Analysis in a Linguistic Context: A Consensus-Based Multiattribute Group Decision-Making Approach (2018)A New Dispersion Control Chart for Handling the Neutrosophic Data (2020)Design of S-control chart for neutrosophic data: An application to manufacturing industry (2020)Monitoring the road traffic crashes using NEWMA chart and repetitive sampling (2020)
this work references cited by second hop

References

  • 2015Another Look at the EWMA Control Chart with Estimated Parameters156 cited
  • 2010An Evaluation of a GLR Control Chart for Monitoring the Process Mean122 cited
  • 2011Design and Analysis of Control Charts for Standard Deviation with Estimated Parameters77 cited
  • 2004A Group Runs Control Chart for Detecting Shifts in the Process Mean46 cited
  • 2019A new variable control chart using neutrosophic interval method-an application to automobile industry31 cited
  • 2007SKEW NORMAL DISTRIBUTION AND THE DESIGN OF CONTROL CHARTS FOR AVERAGES31 cited
  • 2016Control chart for high-quality processes based on Six Sigma quality19 cited
  • 2017Monitoring process control chart with finite mixture probability distribution15 cited
  • 2014A new standardized interval-valued chart for fuzzy data8 cited

Cited by

No citing works inside the corpus for this window.

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work