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An exploratory analysis approach for understanding variation in stochastic textured surfaces
5 references·2 citing·24 second hop
An exploratory analysis approach for understanding variation in stochastic textured surfaces (2019)An exploratory analysis approach for unde…Monitoring for changes in the nature of stochastic textured surfaces (2018)Monitoring for changes in the…A Monitoring and Diagnostic Approach for Stochastic Textured Surfaces (2017)A Monitoring and Diagnostic A…Discovering the Nature of Variation in Nonlinear Profile Data (2016)Discovering the Nature of Var…Shewhart-type control charts for variation in phase I data analysis (2009)Shewhart-type control charts …Multidimensional Scaling: I. Theory and Method (1952)Multidimensional Scaling: I. …Robust monitoring of stochastic textured surfaces (2021)Robust monitoring of stochast…spc4sts: Statistical process control for stochastic textured surfaces in R (2020)spc4sts: Statistical process …Introduction to Statistical Quality Control (1992)Introduction to Statistical Quality Control (2005)Effects of Parameter Estimation on Control Chart Properties: A Literature Review (2006)Bayesian process control for the Phase II Shewart-typep-chart (2016)Phase I Distribution-Free Analysis with the R Package dfphase1 (2018)A new S2‐TEWMA control chart for monitoring process dispersion (2020)Using Control Charts to Monitor Process and Product Quality Profiles (2004)Statistical monitoring of nonlinear product and process quality profiles (2007)Monitoring General Linear Profiles Using Multivariate Exponentially Weighted Moving Average Schemes (2007)Nonparametric Profile Monitoring by Mixed Effects Modeling (2010)The partitioning ensemble control chart for on-line monitoring of high-dimensional image-based quality characteristics (2023)Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice (2024)Monitoring Profiles Based on Nonparametric Regression Methods (2008)An EWMA and region growing based control chart for monitoring image data (2019)Statistical quality control using image intelligence: A sparse learning approach (2022)Development of control charts to monitor image data using the contourlet transform method (2023)A Spatiotemporal Method for the Monitoring of Image Data (2012)Statistical Quality Control (2013)Profile Monitoring of Probability Density Functions via Simplicial Functional PCA With Application to Image Data (2018)Computer Aided Design of Experiments (1969)A kernel-distance-based multivariate control chart using support vector methods (2003)Representation of Structure in Similarity Data: Problems and Prospects (1974)Multidimensional Scaling, Tree-Fitting, and Clustering (1980)Spatial Models of Parliamentary Voting (2005)
this work references cited by second hop

References

  • 1952Multidimensional Scaling: I. Theory and Method2,130 cited
  • 2017A Monitoring and Diagnostic Approach for Stochastic Textured Surfaces43 cited
  • 2009Shewhart-type control charts for variation in phase I data analysis32 cited
  • 2018Monitoring for changes in the nature of stochastic textured surfaces26 cited
  • 2016Discovering the Nature of Variation in Nonlinear Profile Data12 cited

Cited by

  • 2020spc4sts: Statistical process control for stochastic textured surfaces in R7 cited
  • 2021Robust monitoring of stochastic textured surfaces7 cited

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