Year |
Citation |
Score |
2023 |
Wai Tsang K, Tsung F, Xu Z. Knockoff procedure for false discovery rate control in high-dimensional data streams. Journal of Applied Statistics. 50: 2970-2983. PMID 37808615 DOI: 10.1080/02664763.2023.2200496 |
0.327 |
|
2021 |
Li J, Ding D, Tsung F. Directional PCA for Fast Detection and Accurate Diagnosis: A Unified Framework. Ieee Transactions On Cybernetics. PMID 33983889 DOI: 10.1109/TCYB.2021.3070590 |
0.693 |
|
2021 |
Nie Z, Li F, Morales F, Patchkovskii S, Smirnova O, An W, Nambu N, Matteo D, Marsh KA, Tsung F, Mori WB, Joshi C. In Situ Generation of High-Energy Spin-Polarized Electrons in a Beam-Driven Plasma Wakefield Accelerator. Physical Review Letters. 126: 054801. PMID 33605740 DOI: 10.1103/PhysRevLett.126.054801 |
0.602 |
|
2020 |
Li W, Xiang D, Tsung F, Pu X. A Diagnostic Procedure for High-Dimensional Data Streams via Missed Discovery Rate Control Technometrics. 62: 84-100. DOI: 10.1080/00401706.2019.1575284 |
0.334 |
|
2020 |
Li W, Zhang C, Tsung F, Mei Y. Nonparametric monitoring of multivariate data via KNN learning International Journal of Production Research. 1-16. DOI: 10.1080/00207543.2020.1812750 |
0.333 |
|
2020 |
Xiang D, Tsung F, Pu X, Li W. Change Detection of Profile with Jumps and Its Application to 3D Printing Computers & Industrial Engineering. 139: 106198. DOI: 10.1016/J.Cie.2019.106198 |
0.415 |
|
2019 |
Wen H, Maximov AV, Yan R, Li J, Ren C, Tsung FS. Three-dimensional particle-in-cell modeling of parametric instabilities near the quarter-critical density in plasmas. Physical Review. E. 100: 041201. PMID 31771012 DOI: 10.1103/Physreve.100.041201 |
0.618 |
|
2019 |
Wang K, Tsung F. A Fast and Robust Nonparametric Monitoring Scheme for Free-Form Surface Scanning Data Ieee Transactions On Automation Science and Engineering. 16: 1675-1685. DOI: 10.1109/Tase.2019.2892510 |
0.415 |
|
2019 |
Xia Z, Tsung F. A computationally efficient self-starting scheme to monitor general linear profiles with abrupt changes Quality Technology and Quantitative Management. 16: 278-296. DOI: 10.1080/16843703.2017.1396956 |
0.355 |
|
2019 |
Wang J, Ma Y, Tsung F, Chang G, Tu Y. Economic parameter design for ultra-fast laser micro-drilling process International Journal of Production Research. 57: 6292-6314. DOI: 10.1080/00207543.2019.1566660 |
0.334 |
|
2019 |
Liu Y, Zhou H, Tsung F, Zhang S. Real-time Quality Monitoring and Diagnosis for Manufacturing Process Profiles Based on Deep Belief Networks Computers & Industrial Engineering. 136: 494-503. DOI: 10.1016/J.Cie.2019.07.042 |
0.442 |
|
2019 |
Li Z, Tsung F. A control scheme for monitoring process covariance matrices with more variables than observations Quality and Reliability Engineering International. 35: 351-367. DOI: 10.1002/Qre.2403 |
0.447 |
|
2018 |
Capizzi G, Zou C, Tsung F. Editor's notes on Special Issue on “Statistical Process Control for Big Data Streams” Journal of Quality Technology. 50: 327-328. DOI: 10.1080/00224065.2018.1532698 |
0.389 |
|
2018 |
Wang A, Xian X, Tsung F, Liu K. A spatial-adaptive sampling procedure for online monitoring of big data streams Journal of Quality Technology. 50: 329-343. DOI: 10.1080/00224065.2018.1507560 |
0.415 |
|
2018 |
Liu L, Lai X, Zhang J, Tsung F. Online profile monitoring for surgical outcomes using a weighted score test Journal of Quality Technology. 50: 88-97. DOI: 10.1080/00224065.2018.1404329 |
0.354 |
|
2018 |
Yu M, Wu C, Wang Z, Tsung F. A robust CUSUM scheme with a weighted likelihood ratio to monitor an overdispersed counting process Computers & Industrial Engineering. 126: 165-174. DOI: 10.1016/J.Cie.2018.09.029 |
0.44 |
|
2018 |
Wang K, Li J, Tsung F. Adaptive monitoring of multimodal data Computers & Industrial Engineering. 125: 364-374. DOI: 10.1016/J.Cie.2018.09.001 |
0.469 |
|
2017 |
Xiang D, Tsung F, Pu X. Statistical Process Control for Latent Quality Characteristics Using the Up-and-Down Test Technometrics. 59: 496-507. DOI: 10.1080/00401706.2016.1273139 |
0.443 |
|
2017 |
Wang H, Tsung F. Constructing tolerance intervals for the number of defectives using both high-and low-resolution data Journal of Quality Technology. 49: 354-364. DOI: 10.1080/00224065.2017.11918002 |
0.323 |
|
2017 |
Grasso ML, Colosimo BM, Tsung F. A phase I multi-modelling approach for profile monitoring of signal data International Journal of Production Research. 55: 4354-4377. DOI: 10.1080/00207543.2016.1251626 |
0.459 |
|
2017 |
Li W, Pu X, Tsung F, Xiang D. A robust self-starting spatial rank multivariate EWMA chart based on forward variable selection Computers & Industrial Engineering. 103: 116-130. DOI: 10.1016/J.Cie.2016.11.024 |
0.465 |
|
2016 |
Wang A, Song S, Huang Q, Tsung F. In-Plane Shape-Deviation Modeling and Compensation for Fused Deposition Modeling Processes Ieee Transactions On Automation Science and Engineering. DOI: 10.1109/Tase.2016.2544941 |
0.33 |
|
2016 |
Li Y, Shu L, Tsung F. A false discovery approach for scanning spatial disease clusters with arbitrary shapes Iie Transactions (Institute of Industrial Engineers). 48: 684-698. DOI: 10.1080/0740817X.2015.1133940 |
0.632 |
|
2016 |
Ding D, Tsung F, Li J. Rank-based process control for mixed-type data Iie Transactions (Institute of Industrial Engineers). 1-11. DOI: 10.1080/0740817X.2015.1126002 |
0.487 |
|
2016 |
Ding D, Tsung F, Li J. Ordinal profile monitoring with random explanatory variables International Journal of Production Research. 1-14. DOI: 10.1080/00207543.2016.1204476 |
0.363 |
|
2016 |
He Z, Wang Z, Tsung F, Shang Y. A control scheme for autocorrelated bivariate binomial data Computers and Industrial Engineering. 98: 350-359. DOI: 10.1016/J.Cie.2016.06.001 |
0.683 |
|
2016 |
Li J, Liu Y, Tsung F, Huo J, Su Q. Statistical Monitoring of Service Levels and Staffing Adjustments for Call Centers Quality and Reliability Engineering International. 32: 2813-2821. DOI: 10.1002/Qre.1966 |
0.354 |
|
2016 |
Zhang C, Tsung F, Xiang D. Monitoring censored lifetime data with a weighted-likelihood scheme Naval Research Logistics. 63: 631-646. DOI: 10.1002/Nav.21724 |
0.456 |
|
2015 |
Han D, Tsung F, Ning X. Detection and Diagnosis of Distribution Changes of Degree Ratio in Complex Networks Communications in Statistics-Theory and Methods. 44: 1911-1938. DOI: 10.1080/03610926.2012.758742 |
0.57 |
|
2015 |
Ding D, Tsung F, Li J. Directional control schemes for processes with mixed-type data International Journal of Production Research. 54: 1594-1609. DOI: 10.1080/00207543.2015.1023402 |
0.478 |
|
2015 |
Zhang C, Tsung F, Zou C. A general framework for monitoring complex processes with both in-control and out-of-control information Computers & Industrial Engineering. 85: 157-168. DOI: 10.1016/J.Cie.2015.03.007 |
0.507 |
|
2014 |
Li J, Tsung F, Zou C. Multivariate binomial/multinomial control chart Iie Transactions. 46: 526-542. DOI: 10.1080/0740817X.2013.849830 |
0.484 |
|
2014 |
Wang A, Wang K, Tsung F. Statistical Surface Monitoring by Spatial-Structure Modeling Journal of Quality Technology. 46: 359-376. DOI: 10.1080/00224065.2014.11917977 |
0.521 |
|
2014 |
Shen X, Tsung F, Zou C. A new multivariate EWMA scheme for monitoring covariance matrices International Journal of Production Research. 52: 2834-2850. DOI: 10.1080/00207543.2013.842019 |
0.607 |
|
2014 |
Li J, Tsung F, Zou C. A simple categorical chart for detecting location shifts with ordinal information International Journal of Production Research. 52: 550-562. DOI: 10.1080/00207543.2013.838329 |
0.41 |
|
2014 |
Liu L, Tsung F, Zhang J. Adaptive nonparametric CUSUM scheme for detecting unknown shifts in location International Journal of Production Research. 52: 1592-1606. DOI: 10.1080/00207543.2013.812260 |
0.481 |
|
2014 |
Shang Y, Zi X, Tsung F, He Z. LASSO-based diagnosis scheme for multistage processes with binary data Computers & Industrial Engineering. 72: 198-205. DOI: 10.1016/J.Cie.2014.03.013 |
0.653 |
|
2013 |
Sahai AA, Tsung FS, Tableman AR, Mori WB, Katsouleas TC. Relativistically induced transparency acceleration of light ions by an ultrashort laser pulse interacting with a heavy-ion-plasma density gradient. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 88: 043105. PMID 24229291 DOI: 10.1103/Physreve.88.043105 |
0.613 |
|
2013 |
Shang Y, Tsung F, Zou C. Statistical process control for multistage processes with binary outputs Iie Transactions (Institute of Industrial Engineers). 45: 1008-1023. DOI: 10.1080/0740817X.2012.723839 |
0.661 |
|
2013 |
Ning X, Tsung F. Improved design of kernel distance-based charts using support vector methods Iie Transactions (Institute of Industrial Engineers). 45: 464-476. DOI: 10.1080/0740817X.2012.712237 |
0.618 |
|
2013 |
Shen X, Zou C, Jiang W, Tsung F. Monitoring poisson count data with probability control limits when sample sizes are time varying Naval Research Logistics. 60: 625-636. DOI: 10.1002/Nav.21557 |
0.586 |
|
2013 |
Li J, Tsung F, Zou C. Directional change-point detection for process control with multivariate categorical data Naval Research Logistics (Nrl). 60: 160-173. DOI: 10.1002/Nav.21525 |
0.469 |
|
2012 |
Zi X, Zou C, Tsung F. A distribution-free robust method for monitoring linear profiles using rank-based regression Iie Transactions. 44: 949-963. DOI: 10.1080/0740817X.2011.649386 |
0.415 |
|
2012 |
Ning X, Tsung F. A density-based statistical process control scheme for high-dimensional and mixed-type observations Iie Transactions (Institute of Industrial Engineers). 44: 301-311. DOI: 10.1080/0740817X.2011.587863 |
0.641 |
|
2012 |
Jiang W, Wang K, Tsung F. A Variable-Selection-Based Multivariate EWMA Chart for Process Monitoring and Diagnosis Journal of Quality Technology. 44: 209-230. DOI: 10.1080/00224065.2012.11917896 |
0.627 |
|
2012 |
Li J, Tsung F, Zou C. Directional Control Schemes for Multivariate Categorical Processes Journal of Quality Technology. 44: 136-154. DOI: 10.1080/00224065.2012.11917889 |
0.468 |
|
2012 |
Fan SS, Lo L, Chang Y, Lin C, Tsung F. Prediction of time-varying metrology delay for dEWMA and RLS-LT controllers Journal of Process Control. 22: 823-828. DOI: 10.1016/J.Jprocont.2012.01.023 |
0.407 |
|
2012 |
Ou Y, Wu Z, Tsung F. A comparison study of effectiveness and robustness of control charts for monitoring process mean International Journal of Production Economics. 135: 479-490. DOI: 10.1016/J.Ijpe.2011.08.026 |
0.408 |
|
2012 |
Zou C, Ning X, Tsung F. LASSO-based multivariate linear profile monitoring Annals of Operations Research. 192: 3-19. DOI: 10.1007/S10479-010-0797-8 |
0.659 |
|
2012 |
Li Y, Tsung F. Multiple Attribute Control Charts with False Discovery Rate Control Quality and Reliability Engineering International. 28: 857-871. DOI: 10.1002/Qre.1276 |
0.614 |
|
2012 |
Zou C, Wang Z, Tsung F. A spatial rank-based multivariate EWMA control chart Naval Research Logistics (Nrl). 59: 91-110. DOI: 10.1002/Nav.21475 |
0.495 |
|
2011 |
Zou C, Jiang W, Tsung F. A LASSO-Based Diagnostic Framework for Multivariate Statistical Process Control Technometrics. 53: 297-309. DOI: 10.1198/Tech.2011.10034 |
0.465 |
|
2011 |
Zou C, Tsung F. A multivariate sign EWMA control chart Technometrics. 53: 84-97. DOI: 10.1198/Tech.2010.09095 |
0.481 |
|
2011 |
Li Y, Tsung F. Detecting and diagnosing covariance matrix changes in multistage processes Iie Transactions. 43: 259-274. DOI: 10.1080/0740817X.2010.521805 |
0.586 |
|
2011 |
Shang Y, Tsung F, Zou C. Profile Monitoring with Binary Data and Random Predictors Journal of Quality Technology. 43: 196-208. DOI: 10.1080/00224065.2011.11917857 |
0.577 |
|
2011 |
Lee S, Chao A, Tsung F, Wong DSH, Tseng S, Jang SS. Monitoring Batch Processes with Multiple On-Off Steps in Semiconductor Manufacturing Journal of Quality Technology. 43: 142-157. DOI: 10.1080/00224065.2011.11917852 |
0.37 |
|
2010 |
Jin M, Li Y, Tsung F. Chart allocation strategy for serial-parallel multistage manufacturing processes Iie Transactions. 42: 577-588. DOI: 10.1080/07408170903394330 |
0.631 |
|
2010 |
Han D, Tsung F, Li Y, Xian J. Detection of changes in a random financial sequence with a stable distribution Journal of Applied Statistics. 37: 1089-1111. DOI: 10.1080/02664760902914433 |
0.546 |
|
2010 |
Zou C, Tsung F. Likelihood Ratio-Based Distribution-Free EWMA Control Charts Journal of Quality Technology. 42: 174-196. DOI: 10.1080/00224065.2010.11917815 |
0.379 |
|
2010 |
Wang K, Tsung F. Recursive parameter estimation for categorical process control International Journal of Production Research. 48: 1381-1394. DOI: 10.1080/00207540802570651 |
0.609 |
|
2009 |
Li Y, Tsung F. False Discovery Rate-Adjusted Charting Schemes for Multistage Process Monitoring and Fault Identification Technometrics. 51: 186-205. DOI: 10.1198/Tech.2009.0019 |
0.605 |
|
2009 |
Wang H, Tsung F. Tolerance Intervals With Improved Coverage Probabilities for Binomial and Poisson Variables Technometrics. 51: 25-33. DOI: 10.1198/Tech.2009.0003 |
0.376 |
|
2009 |
Han D, Tsung F. The Optimal Stopping Time for Detecting Changes in Discrete Time Markov Processes Sequential Analysis. 28: 115-135. DOI: 10.1080/07474940802619451 |
0.356 |
|
2009 |
Sukchotrat T, Kim SB, Tsung F. One-class classification-based control charts for multivariate process monitoring Iie Transactions. 42: 107-120. DOI: 10.1080/07408170903019150 |
0.41 |
|
2009 |
Jin M, Tsung F. A chart allocation strategy for multistage processes Iie Transactions (Institute of Industrial Engineers). 41: 790-803. DOI: 10.1080/07408170902789068 |
0.462 |
|
2009 |
Jin M, Tsung F. Smith-EWMA run-to-run control schemes for a process with measurement delay Iie Transactions (Institute of Industrial Engineers). 41: 346-358. DOI: 10.1080/07408170802331243 |
0.429 |
|
2009 |
Shang Y, Wang K, Tsung F. An improved run-to-run process control scheme for categorical observations with misclassification errors Quality and Reliability Engineering International. 25: 397-407. DOI: 10.1002/Qre.976 |
0.73 |
|
2009 |
Wang K, Tsung F. An adaptive dimension reduction scheme for monitoring feedback‐controlled processes Quality and Reliability Engineering International. 25: 283-298. DOI: 10.1002/Qre.968 |
0.644 |
|
2009 |
Li Y, Pu X, Tsung F. Adaptive Charting Schemes Based on Double Sequential Probability Ratio Tests Quality and Reliability Engineering International. 25: 21-39. DOI: 10.1002/Qre.938 |
0.398 |
|
2008 |
Tsung F, Li Y, Jin M. Statistical process control for multistage manufacturing and service operations: A review and some extensions International Journal of Services Operations and Informatics. 3: 191. DOI: 10.1504/Ijsoi.2008.019333 |
0.582 |
|
2008 |
Zou C, Tsung F, Wang Z. Monitoring Profiles Based on Nonparametric Regression Methods Technometrics. 50: 512-526. DOI: 10.1198/004017008000000433 |
0.484 |
|
2008 |
Zou C, Tsung F, Liu Y. A Change Point Approach for Phase I Analysis in Multistage Processes Technometrics. 50: 344-356. DOI: 10.1198/004017008000000307 |
0.415 |
|
2008 |
Xiang L, Tsung F. Statistical monitoring of multi-stage processes based on engineering models Iie Transactions. 40: 957-970. DOI: 10.1080/07408170701880845 |
0.416 |
|
2008 |
Zou C, Tsung F. Directional MEWMA Schemes for Multistage Process Monitoring and Diagnosis Journal of Quality Technology. 40: 407-427. DOI: 10.1080/00224065.2008.11917746 |
0.351 |
|
2008 |
Wang K, Tsung F. An Adaptive T-Squared Chart for Monitoring Dynamic Systems Journal of Quality Technology. 40: 109-123. DOI: 10.1080/00224065.2008.11917716 |
0.569 |
|
2008 |
Zou C, Wang Z, Tsung F. Monitoring autocorrelated processes using variable sampling schemes at fixed-times Quality and Reliability Engineering International. 24: 55-69. DOI: 10.1002/Qre.867 |
0.39 |
|
2007 |
Zou C, Tsung F, Wang Z. Monitoring general linear profiles using multivariate exponentially weighted moving average schemes Technometrics. 49: 395-408. DOI: 10.1198/004017007000000164 |
0.458 |
|
2007 |
Han D, Tsung F, Li Y. A Cusum Chart With Local Signal Amplification For Detecting A Range Of Unknown Shifts International Journal of Reliability, Quality and Safety Engineering. 14: 81-97. DOI: 10.1142/S0218539307002520 |
0.584 |
|
2007 |
Han D, Tsung F. Detection and Diagnosis of Unknown Abrupt Changes Using CUSUM Multi-Chart Schemes Sequential Analysis. 26: 225-249. DOI: 10.1080/07474940701404765 |
0.43 |
|
2007 |
Tsung F, Zhou Z, Jiang W. Applying manufacturing batch techniques to fraud detection with incomplete customer information Iie Transactions. 39: 671-680. DOI: 10.1080/07408170600897510 |
0.393 |
|
2007 |
Tseng ST, Tsung F, Liu PY. Variable EWMA run-to-run controller for drifted processes Iie Transactions (Institute of Industrial Engineers). 39: 291-301. DOI: 10.1080/07408170600838431 |
0.478 |
|
2007 |
Zou C, Zhou C, Wang Z, Tsung F. A self-starting control chart for linear profiles Journal of Quality Technology. 39: 364-375. DOI: 10.1080/00224065.2007.11917702 |
0.458 |
|
2007 |
Wang K, Tsung F. Run-to-Run Process Adjustment Using Categorical Observations Journal of Quality Technology. 39: 312-325. DOI: 10.1080/00224065.2007.11917698 |
0.616 |
|
2007 |
Wang K, Tsung F. Monitoring feedback-controlled processes using adaptive T 2 schemes International Journal of Production Research. 45: 5601-5619. DOI: 10.1080/00207540701325488 |
0.639 |
|
2007 |
Sun R, Tsung F, Qu L. Evolving kernel principal component analysis for fault diagnosis Computers & Industrial Engineering. 53: 361-371. DOI: 10.1016/J.Cie.2007.06.029 |
0.311 |
|
2006 |
Han D, Tsung F. A Reference-Free Cuscore Chart for Dynamic Mean Change Detection and a Unified Framework for Charting Performance Comparison Journal of the American Statistical Association. 101: 368-386. DOI: 10.1198/016214505000000556 |
0.422 |
|
2006 |
Linn RJ, Tsung F, Ellis LWC. Supplier Selection Based on Process Capability and Price Analysis Quality Engineering. 18: 123-129. DOI: 10.1080/08982110600567475 |
0.364 |
|
2006 |
Tsung F, Zhao Y, Xiang L, Jiang W. Improved design of proportional integral derivative charts Journal of Quality Technology. 38: 31-44. DOI: 10.1080/00224065.2006.11918582 |
0.465 |
|
2006 |
Jiang W, Shu L, Tsung F. A Comparative Study of Joint Monitoring Schemes for APC Processes Quality and Reliability Engineering International. 22: 939-952. DOI: 10.1002/Qre.780 |
0.638 |
|
2006 |
Runger G, Testik MC, Tsung F. Relationships among control charts used with feedback control Quality and Reliability Engineering International. 22: 877-887. DOI: 10.1002/Qre.774 |
0.438 |
|
2005 |
Liu H, Tsui KL, Tsung F. A Nearly Optimal Order Policy to Reduce Bullwhip Effect Quality Technology and Quantitative Management. 2: 91-108. DOI: 10.1080/16843703.2005.11673083 |
0.402 |
|
2005 |
SHU L, TSUNG F, TSUI K. Effects of estimation errors on cause-selecting charts Iie Transactions. 37: 559-567. DOI: 10.1080/07408170590929027 |
0.576 |
|
2005 |
Zhao Y, Tsung F, Wang Z. Dual CUSUM control schemes for detecting a range of mean shifts Iie Transactions. 37: 1047-1057. DOI: 10.1080/07408170500232321 |
0.46 |
|
2005 |
Lee NKS, An Y, Tsung F. Studying effects of screw-fastening process on assembly accuracy The International Journal of Advanced Manufacturing Technology. 25: 493-499. DOI: 10.1007/S00170-003-1856-Y |
0.355 |
|
2005 |
Han D, Tsung F. Comparison of the cuscore, GLRT and cusum control charts for detecting a dynamic mean change Annals of the Institute of Statistical Mathematics. 57: 531-552. DOI: 10.1007/Bf02509238 |
0.411 |
|
2005 |
Wang K, Tsung F. Using Profile Monitoring Techniques for a Data-rich Environment with Huge Sample Size Quality and Reliability Engineering International. 21: 677-688. DOI: 10.1002/Qre.711 |
0.592 |
|
2005 |
Castagliola P, Tsung F. Autocorrelated SPC for Non‐Normal Situations Quality and Reliability Engineering International. 21: 131-161. DOI: 10.1002/Qre.612 |
0.386 |
|
2004 |
Shu L, Tsung F, Kapur KC. Design of multiple cause-selecting charts for multistage processes with model uncertainty Quality Engineering. 16: 437-450. DOI: 10.1081/Qen-120027945 |
0.61 |
|
2004 |
Shu L, Tsung F, Tsui K. Run-Length Performance of Regression Control Charts with Estimated Parameters Journal of Quality Technology. 36: 280-292. DOI: 10.1080/00224065.2004.11980274 |
0.624 |
|
2004 |
Tong JPC, Tsung F, Yen BPC. A DMAIC approach to printed circuit board quality improvement The International Journal of Advanced Manufacturing Technology. 23: 523-531. DOI: 10.1007/S00170-003-1721-Z |
0.389 |
|
2003 |
Han D, Tsung F. A generalized EWMA control chart and its comparison with the optimal EWMA, CUSUM and GLR schemes Annals of Statistics. 32: 316-339. DOI: 10.1214/Aos/1079120139 |
0.423 |
|
2003 |
Tseng S, Yeh AB, Tsung F, Chan Y. A study of variable EWMA controller Ieee Transactions On Semiconductor Manufacturing. 16: 633-643. DOI: 10.1109/Tsm.2003.818960 |
0.444 |
|
2003 |
Sun R, Tsung F. A kernel-distance-based multivariate control chart using support vector methods International Journal of Production Research. 41: 2975-2989. DOI: 10.1080/1352816031000075224 |
0.443 |
|
2003 |
Shu L, Tsung F. On Multistage Statistical Process Control Journal of the Chinese Institute of Industrial Engineers. 20: 1-8. DOI: 10.1080/10170660309509217 |
0.648 |
|
2003 |
Tsung F, Tsui K. A mean-shift pattern study on integration of SPC and APC for process monitoring Iie Transactions. 35: 231-242. DOI: 10.1080/07408170304365 |
0.454 |
|
2003 |
Shi D, Tsung F. Modelling and diagnosis of feedback-controlled processes using dynamic PCA and neural networks International Journal of Production Research. 41: 365-379. DOI: 10.1080/0020754021000020962 |
0.45 |
|
2002 |
Jiang W, Wu H, Tsung F, Nair VN, Tsui KL. Proportional integral derivative charts for process monitoring Technometrics. 44: 205-214. DOI: 10.1198/004017002188618392 |
0.463 |
|
2002 |
Linn RJ, Au E, Tsung F. Process Capability Improvement for Multistage Processes Quality Engineering. 15: 281-292. DOI: 10.1081/Qen-120015860 |
0.405 |
|
2002 |
TSUNG F, APLEY DW. The dynamicT2chart for monitoring feedback-controlled processes Iie Transactions. 34: 1043-1053. DOI: 10.1080/07408170208928933 |
0.488 |
|
2002 |
Apley DW, Tsung F. The AutoregressiveT2 Chart for Monitoring Univariate Autocorrelated Processes Journal of Quality Technology. 34: 80-96. DOI: 10.1080/00224065.2002.11980131 |
0.399 |
|
2002 |
Shu L, Apley DW, Tsung F. Autocorrelated process monitoring using triggered cuscore charts Quality and Reliability Engineering International. 18: 411-421. DOI: 10.1002/Qre.492 |
0.577 |
|
2001 |
Tsung F. A Note On Statistical Monitoring Of Engineering Controlled Processes International Journal of Reliability, Quality and Safety Engineering. 8: 1-14. DOI: 10.1142/S0218539301000323 |
0.471 |
|
2000 |
Tsung F. Statistical monitoring and diagnosis of automatic controlled processes using dynamic PCA International Journal of Production Research. 38: 625-637. DOI: 10.1080/002075400189338 |
0.502 |
|
1999 |
Tsung F, Shi J, Wu CFJ. Joint Monitoring of PID-Controlled Processes Journal of Quality Technology. 31: 275-285. DOI: 10.1080/00224065.1999.11979926 |
0.438 |
|
1999 |
Tsung F, Shi J. Integrated design of run-to-run PID controller and SPC monitoring for process disturbance rejection Iie Transactions. 31: 517-527. DOI: 10.1023/A:1007698222427 |
0.416 |
|
1999 |
Tsung F. Improving Automatic-Controlled Process Quality Using Adaptive Principal Component Monitoring Quality and Reliability Engineering International. 15: 135-142. DOI: 10.1002/(Sici)1099-1638(199903/04)15:2<135::Aid-Qre214>3.0.Co;2-# |
0.477 |
|
1998 |
Tsung F, Wu H, Nair VN. On the efficiency and robustness of discrete proportional-integral control schemes Technometrics. 40: 214-222. DOI: 10.2307/1271177 |
0.388 |
|
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