Discussion on “Optimal Sequential Surveillance for Finance, Public Health, and Other Areas” by Marianne Frisén

REFERENCES

• Aparisi , F. , Jabaloyes , J. , and Carrióne , A. ( 1999 ). Statistical Properties of the S Multivariate Chart , Communications in Statistics-Theory and Methods 28 : 2671 – 2686 .
   Web of Science ®Google Scholar
• Badcock , J. , Bailey , T. C. , Philip , J. , and Krzanowski , W. J. ( 2004 ). Two Projection Methods for Use in the Analysis of Multivariate Process Data with an Illustration in Petrochemical Production , Technometrics 46 : 392 – 403 .
   Web of Science ®Google Scholar
• Chakraborti , S. , van der Laan , P. , and wan de Wiel , A. ( 2004 ). A Class of Distribution-Free Control Charts , Journal of Royal Statistical Society, Series C 53 : 443 – 462 .
   Web of Science ®Google Scholar
• Chun , Y. H. ( 2000 ). A Nonparametric Control Chart for a Symmetric Process: A Markov Approach , Quality Engineering 12 : 447 – 461 .
   Google Scholar
• Conlin , A. K. , Martin , E. B. , and Morris , A. J. ( 2000 ). Confidence Limits for Contribution Plots , Journal of Chemometrics 14 : 725 – 736 .
   Web of Science ®Google Scholar
• Farrington , C. P. , Andrews , N. J. , Beal , A. D. , and Catchpole , M. A. ( 1996 ). A Statistical Algorithm for the Early Detection of Outbreaks of Infectious Disease , Journal of Royal Statistical Society, Series A 159 : 547 – 563 .
   Google Scholar
• Fransson , M. , Sparén , A. , Lagerholm , B. , and Karlsson , L. ( 2001 ). On-Line Process Control of Liquid Chromatography , Analytical Chemistry 73 : 1502 – 1508 .
   PubMedGoogle Scholar
• Frisén , M. , Andersson , E. , and Schiöler , L. ( 2009 ). Robust Outbreak Surveillance of Epidemics in Sweden , Statistics in Medicine 28 : 476 – 493 .
   PubMed Web of Science ®Google Scholar
• Holmes , D. S. and Mergen , A. E. ( 1995 ). Identifying the Sources for Out-of-Control Signals When the T2 Control Chart Is Used , Quality Engineering 8 : 137 – 143 .
   Google Scholar
• Järpe , E. ( 2000 ). On Univariate and Spatial Surveillance, Ph.D. thesis, Department of Statistics. Göteborg University, Göteborg, Sweden .
   Google Scholar
• Kalgonda , A. A. and Kulkarni , S. R. ( 2004 ). Multivariate Quality Control Chart for Autocorrelated Processes , Journal of Applied Statistics 31 : 317 – 327 .
   Web of Science ®Google Scholar
• King , D. W. and Longnecker , M. T. (1990). Computing the Distribution of the Wilcoxon Statistic with Applications to Process Control, Communications in Statistics—Simulation and Computation 19: 381–399.
   Web of Science ®Google Scholar
• Knoth , S. ( 2006 ). The Art of Evaluating Monitoring Schemes—How to Measure the Performance of Control Charts? in Frontiers of Statistical Quality Control #8 . H.-J. Lenz and P. T. Wilrich , eds., pp. 74 – 99 , Warsaw : Physical Verlag .
   Google Scholar
• Liu , R. Y. and Tang , J. ( 1996 ). Control Charts for Dependent and Independent Measurements Based on Bootstrap Methods , Journal of American Statistical Association 91 : 1694 – 1700 .
   Web of Science ®Google Scholar
• Löfqvist , C. , Andersson , E. , and Sigurdsson , J. ( 2006 ). Longitudinal Postnatal Weight and Insulin-Like Growth Factor I Measurements in the Prediction of Retinopathy of Prematurity , Archives of Ophthalmology 124 : 1711 – 1718 .
   PubMedGoogle Scholar
• Löfqvist , C. , Hansen-Pupp , I. , and Andersson , E. ( 2009 ). Validation of a New ROP Screening Method Monitoring Longitudinal Postnatal Weight and IGF-I , Archives of Ophthalmology 127 : 622 – 627 .
   PubMedGoogle Scholar
• Lu , C. W. and Reynolds , M. R. , Jr. ( 1999 ). EWMA Control Charts for Monitoring the Mean of Autocorrelated Processes , Journal of Quality Technology 31 : 166 – 188 .
   Web of Science ®Google Scholar
• Maravelakis , P. E. , Bersimis , S. , Panaretos , J. , and Psarakis , S. ( 2002 ). Identifying the Out of Control Variable in a Multivariate Control Chart , Communications in Statistics—Theory and Methods 31 : 2391 – 2408 .
   Web of Science ®Google Scholar
• Martínez-Beneito , M. A. , Conesa , D. , López-Quílez , A. , and López-Maside , A. ( 2008 ). Bayesian Markov Switching Models for the Early Detection of Influenza Epidemics , Statistics in Medicine 27 : 4455 – 4468 .
   PubMed Web of Science ®Google Scholar
• Moustakides , G. V. ( 1986 ). Optimal Stopping Times for Detecting Changes in Distributions , Annals of Statistics 14 : 1379 – 1387 .
   Web of Science ®Google Scholar
• Petzold , M. , Sonesson , C. , Bergman , E. , and Kieler , H. ( 2004 ). Surveillance in Longitudinal Models. Detection of Intra-Uterine Growth Restriction , Biometrics 60 : 1025 – 1033 .
   PubMed Web of Science ®Google Scholar
• Shiryaev , A. N. ( 1963 ). On Optimum Methods in Quickest Detection Problems , Theory of Probability and Its Applications 8 : 22 – 46 .
   Google Scholar
• Wessman , P. ( 1998 ). Some Principles for Surveillance Adopted for Multivariate Processes with Common Change Points , Communications in Statistics-Theory and Methods 27 : 1143 – 1161 .
   Web of Science ®Google Scholar
• Recommended by Nitis Mukhopadhyay
   Google Scholar