Optimal Sequential Surveillance for Finance, Public Health, and Other Areas

REFERENCES

• Andersson , E. ( 2002 ). Monitoring Cyclical Processes—A Nonparametric Approach , Journal of Applied Statistics 29 : 973 – 990 .
   Web of Science ®Google Scholar
• Andersson , E. ( 2009 ). Effect of Dependency in Systems for Multivariate Surveillance , Communications in Statistics – Simulation and Computation 38 : 454 – 472 .
   Web of Science ®Google Scholar
• Andersson , E. , Bock , D. , and Frisén , M. ( 2005 ). Statistical Surveillance of Cyclical Processes with Application to Turns in Business Cycles , Journal of Forecasting 24 : 465 – 490 .
   Web of Science ®Google Scholar
• Andersson , E. , Bock , D. , and Frisén , M. ( 2006 ). Some Statistical Aspects on Methods for Detection of Turning Points in Business Cycles , Journal of Applied Statistics 33 : 257 – 278 .
   Web of Science ®Google Scholar
• Andersson , E. , Bock , D. , and Frisén , M. ( 2008a ). Modeling Influenza Incidence for the Purpose of On-Line Monitoring , Statistical Methods in Medical Research 17 : 421 – 438 .
   PubMed Web of Science ®Google Scholar
• Andersson , E. , Kuhlmann-Berenzon , S. , Linde , A. , Schiöler , L. , Rubinova , S. , and Frisén , M. ( 2008b ). Predictions by Early Indicators of the Progress of the Influenza in Sweden , Scandinavian Journal of Public Health 36 : 475 – 482 .
   PubMed Web of Science ®Google Scholar
• Aue , A. and Horvath , L. ( 2004 ). Delay Time in Sequential Detection of Change , Statistics & Probability Letters 67 : 221 – 231 .
   Web of Science ®Google Scholar
• Aylin , P. , Best , N. , Bottle , A. , and Marshall , C. ( 2003 ). Following Shipman: A Pilot System for Monitoring Mortality Rates in Primary Care , Lancet 362 : 485 – 491 .
   PubMed Web of Science ®Google Scholar
• Barnett , V. and Turkman , K. F. ( 1993 ) . Statistics for the Environment , Edited volume , Chichester : Wiley .
   Google Scholar
• Basseville , M. and Nikiforov , I. ( 1993 ) . Detection of Abrupt Changes—Theory and Application , Englewood Cliffs : Prentice Hall .
   Google Scholar
• Beibel , M. ( 2000 ). A Note on Sequential Detection with Exponential Penalty for the Delay , Annals of Statistics 28 : 1696 – 1701 .
   Web of Science ®Google Scholar
• Bell , C. , Gordon , L. , and Pollak , M. ( 1994 ). An Efficient Nonparametric Detection Scheme and Its Application to Surveillance of a Bernoulli Process with Unknown Baseline , in Change-Point Problems , E. Carlstein , H.-G. Muller , and D. Siegmund , eds., pp. 7 – 27 , IMS Lecture Notes , Hayward : IMS .
   Google Scholar
• Benjamini , Y. and Hochberg , Y. (1995). Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing, Journal of Royal Statistical Society, Series B 57: 289–300.
   Web of Science ®Google Scholar
• Bock , D. ( 2007 ). Evaluations of Likelihood-Based Surveillance of Volatility , in Financial Surveillance , M. Frisén , ed., pp. 93 – 113 , Chichester : Wiley .
   Google Scholar
• Bock , D. ( 2008 ). Aspects on the Control of False Alarms in Statistical Surveillance and the Impact on the Return of Financial Decision Systems , Journal of Applied Statistics 35 : 213 – 227 .
   Web of Science ®Google Scholar
• Bock , D. , Andersson , E. , and Frisén , M. ( 2007a ). The Relation between Statistical Surveillance and Technical Analysis in Finance , in Financial Surveillance , M. Frisén , ed., pp. 69 – 92 , Chichester : Wiley .
   Google Scholar
• Bock , D. , Andersson , E. , and Frisén , M. ( 2007b ). Statistical Surveillance of Epidemics: Peak Detection of Influenza in Sweden , Biometrical Journal 50 : 71 – 85 .
   Web of Science ®Google Scholar
• Bock , D. and Pettersson , K. ( 2006 ). Exploratory Analysis of Spatial Aspects on the Swedish Influenza Data. 3:2006, Report from the Swedish Institute for Infectious Disease Control .
   Google Scholar
• Borror , C. M. , Champ , C. W. , and Rigdon , S. E. ( 1998 ). Poisson EWMA Control Charts , Journal of Quality Technology 30 : 352 – 361 .
   Web of Science ®Google Scholar
• Buckeridge , D. L. , Burkom , H. , Campbell , M. , Hogan , W. R. , and Moore , A. W. ( 2005 ). Algorithms for Rapid Outbreak Detection: A Research Synthesis , Journal of Biomedical Informatics 38 : 99 – 113 .
   PubMed Web of Science ®Google Scholar
• Buehler , J. W. , Berkelman , R. , Hartley , D. , and Peters , C. ( 2003 ). Syndromic Surveillance and Bioterrorism-Related Epidemics , Emerging Infectious Diseases 9 : 1197 – 1204 .
   PubMed Web of Science ®Google Scholar
• Chen , R. ( 1978 ). A Surveillance System for Congenital Malformations , Journal of American Statistical Association 73 : 323 – 327 .
   Web of Science ®Google Scholar
• Chu , C.-S. J. , Stinchcombe , M. , and White , H. ( 1996 ). Monitoring Structural Change , Econometrica 64 : 1045 – 1065 .
   Web of Science ®Google Scholar
• Cizek , P. , Härdle , W. , and Weron , R. ( 2005 ) . Statistical Tools for Finance and Insurance , edited volume , New York : Springer .
   Google Scholar
• Crosier , R. B. ( 1988 ). Multivariate Generalizations of Cumulative Sum Quality-Control Schemes , Technometrics 30 : 291 – 303 .
   Web of Science ®Google Scholar
• Crowder , S. V. ( 1989 ). Design of Exponentially Weighted Moving Average Schemes , Journal of Quality Technology 21 : 155 – 162 .
   Web of Science ®Google Scholar
• Föllmer , H. and Schied , A. ( 2002 ) . Stochastic Finance. An Introduction in Discrete Time , Berlin : de Gruyter .
   Google Scholar
• Franke , J. , Härdle , W. , and Hafner , C. ( 2004 ) . Statistics of Financial Markets. An Introduction , Berlin : Springer .
   Google Scholar
• Frisén , M. ( 1986 ). Unimodal Regression , Statistician 35 : 479 – 485 .
   Google Scholar
• Frisén , M. ( 1992 ). Evaluations of Methods for Statistical Surveillance , Statistics in Medicine 11 : 1489 – 1502 .
   PubMed Web of Science ®Google Scholar
• Frisén , M. ( 1994 ). Statistical Surveillance of Business Cycles. 1994:1, Department of Statistics , Göteborg University , Sweden .
   Google Scholar
• Frisén , M. ( 2003 ). Statistical Surveillance. Optimality and Methods , International Statistical Review 71 : 403 – 434 .
   Web of Science ®Google Scholar
• Frisén , M. ( 2007a ) . Financial Surveillance , edited volume , Chichester : Wiley .
   Google Scholar
• Frisén , M. ( 2007b ). Properties and Use of the Shewhart Method and Followers , Sequential Analysis 26 : 171 – 193 .
   Google 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
• Frisén , M. and de Maré , J. ( 1991 ). Optimal Surveillance , Biometrika 78 : 271 – 280 .
   Web of Science ®Google Scholar
• Frisén , M. and Gottlow , M. ( 2003 ). Graphical Evaluation of Statistical Surveillance. Research Report 2003:10, Statistical Research Unit , Göteborg University , Sweden .
   Google Scholar
• Frisén , M. and Sonesson , C. (2006). Optimal Surveillance Based on Exponentially Weighted Moving Averages, Sequential Analysis 25: 379–403.
   Google Scholar
• Frisén , M. and Wessman , P. ( 1999 ). Evaluations of Likelihood Ratio Methods for Surveillance. Differences and Robustness , Communications in Statistics—Simulation & Computation 28 : 597 – 622 .
   Web of Science ®Google Scholar
• Gallus , G. , Mandelli , C. , Marchi , M. , and Radaelli , G. ( 1986 ). On Surveillance Methods for Congenital Malformations , Statistics in Medicine 5 : 565 – 571 .
   PubMed Web of Science ®Google Scholar
• Gan , F. F. ( 1991 ). Monitoring Observations Generated from a Binomial Distribution Using Modified Exponentially Weighted Moving Average Control Charts , Journal of Statistical Computation & Simulation 37 : 45 – 60 .
   Google Scholar
• Golosnoy , V. , Schmid , W. , and Yatsyshynets , I. ( 2007 ). Sequential Monitoring of Optimal Portfolioweights , in Financial Surveillance , M. Frisén , ed., pp. 179 – 210 , Chichester : Wiley .
   Google Scholar
• Gourieroux , C. and Jasiak , J. ( 2002 ) . Financial Econometrics Problems, Models and Methods , New Jersey : University Presses of California, Columbia and Princeton .
   Google Scholar
• Hamilton , J. D. ( 1989 ). A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle , Econometrica 57 : 357 – 384 .
   Web of Science ®Google Scholar
• Han , D. and Tsung , F. ( 2006 ). A Reference-Free Cuscore Chart for Dynamic Mean Change Detection and a Unified Framework for Charting Performance Comparison , Journal of American Statistical Association 101 : 368 – 386 .
   Web of Science ®Google Scholar
• Han , D. and Tsung , F. ( 2007 ). Detection and Diagnosis of Unknown Abrupt Changes Using Cusum Multi-Chart Schemes , Sequential Analysis 26 : 225 – 249 .
   Google Scholar
• Härdle , W. , Kleinow , T. , and Stahl , G. ( 2002 ) . Applied Quantitative Finance. Theory and Computational Tools , edited volume , New York : Springer .
   Google Scholar
• Harrison , P. J. and Stevens , C. F. ( 1976 ). Bayesian Forecasting, with Discussion , Journal of Royal Statistical Society, Series B 38 : 205 – 247 .
   Google Scholar
• Hawkins , D. M. and Olwell , D. H. ( 1998 ) . Cumulative Sum Charts and Charting for Quality Improvement , New York : Springer .
   Google Scholar
• Hill , G. B. , Spicer , C. C. , and Weatherall , J. A. C. ( 1968 ). The Computer Surveillance of Congenital Malformations , British Medical Bulletin 24 : 215 – 218 .
   PubMed Web of Science ®Google Scholar
• Hochberg , Y. and Tamhane , A. C. ( 1987 ) . Multiple Comparison Procedures , New York : Wiley .
   Google Scholar
• Järpe , E. ( 1999 ). Surveillance of the Interaction Parameter in the Ising Model , Communications in Statistics—Theory & Methods 28 : 3009 – 3025 .
   Web of Science ®Google Scholar
• Järpe , E. ( 2000 ). On Univariate and Spatial Surveillance. Ph.D. thesis. Department of Statistics , Göteborg University , Sweden .
   Google Scholar
• Järpe , E. ( 2001 ). Surveillance, Environmental , in Encyclopedia of Environmetrics , A. El-Shaarawi and W. W. Piegorsh , eds., pp. 2150 – 2153 , Chichester : Wiley .
   Google Scholar
• Källén , B. and Winberg , J. ( 1969 ). Multiple Malformations Studied with a National Register of Malformations , Pediatrics 44 : 410 – 417 .
   PubMed Web of Science ®Google Scholar
• Kaufmann , A. F. , Meltzer , M. I. , and Schmid , G. P. ( 1997 ). The Economic Impact of a Bioterrorist Attack: Are Prevention and Postattack Intervention Programs Justifiable? Emerging Infectious Diseases 3 : 83 – 94 .
   PubMed Web of Science ®Google Scholar
• Kenett , R. and Pollak , M. ( 1996 ). Data-Analytic Aspects of the Shiryaev–Roberts Control Chart: Surveillance of a Non-Homogeneous Poisson Process , Journal of Applied Statistics 23 : 125 – 137 .
   Web of Science ®Google Scholar
• Kleinman , K. and Abrams , A. ( 2006 ). Assessing Surveillance Using Sensitivity, Specificity, and Timeliness , Statistical Methods in Medical Research 15 : 445 – 464 .
   PubMed Web of Science ®Google Scholar
• Knoth , S. ( 2006 ). The Art of Evaluating Monitoring Schemes—How to Measure the Performance of Control Charts? edited volume, Frontiers of Statistical Quality Control , Warsaw : Physica Verlag .
   Google Scholar
• Knoth , S. ( 2007 ). Accurate ARL Calculation for EWMA Control Charts Monitoring Normal Mean and Variance Simultaneously , Sequential Analysis 26 : 251 – 263 .
   Google Scholar
• Knoth , S. and Schmid , W. (2002). Monitoring the Mean and the Variance of a Stationary Process, Statistica Neerlandica 56: 77–100.
   Web of Science ®Google Scholar
• Kramer , H. and Schmid , W. ( 1997 ). Control Charts for Time Series , Nonlinear Analysis-Theory, Methods & Applications 30 : 4007 – 4016 .
   Web of Science ®Google Scholar
• Krieger , A. M. , Pollak , M. , and Yakir , B. ( 2003 ). Surveillance of a Simple Linear Regression , Journal of American Statistical Association 98 : 456 – 469 .
   Web of Science ®Google Scholar
• Kulldorff , M. ( 2001 ). Prospective Time Periodic Geographical Disease Surveillance Using a Scan Statistic , Journal of Royal Statistical Society, Series A 164 : 61 – 72 .
   Google Scholar
• Kulldorff , M. and Nagarwalla , N. ( 1995 ). Spatial Disease Clusters: Detection and Inference , Statistics in Medicine 14 : 799 – 810 .
   PubMed Web of Science ®Google Scholar
• Lai , T. L. ( 1995 ). Sequential Changepoint Detection in Quality-Control and Dynamical Systems , Journal of Royal Statistical Society, Series B 57 : 613 – 658 .
   Google Scholar
• Lai , T. L. ( 1998 ). Information Bounds and Quick Detection of Parameters in Stochastic Systems , IEEE Transactions on Information Theory 44 : 2917 – 2929 .
   Web of Science ®Google Scholar
• Lai , T. L. and Shan , Z. ( 1999 ). Efficient Recursive Algorithms for Detection of Abrupt Changes in Signals and Control Systems , IEEE Transactions on Automatic Control 44 : 952 – 966 .
   Web of Science ®Google Scholar
• Lawson , A. ( 2004 ). Some Considerations in Spatial-Temporal Analysis of Public Health Surveillance Data , in Monitoring the Health of Populations: Statistical Principles & Methods for Public Health Surveillance , R. Brookmeyer and D. F. Stroup , eds., pp. 289 – 314 , Oxford : Oxford University Press .
   Google Scholar
• Lawson , A. B. and Kleinman , K. ( 2005 ) . Spatial and Syndromic Surveillance for Public Health , edited volume , Chichester : Wiley .
   Google Scholar
• Lorden , G. ( 1971 ). Procedures for Reacting to a Change in Distribution , Annals of Mathematical Statistics 42 : 1897 – 1908 .
   Google Scholar
• Lowry , C. A. , Woodall , W. H. , Champ , C. W. , and Rigdon , S. E. ( 1992 ). A Multivariate Exponentially Weighted Moving Average Control Chart , Technometrics 34 : 46 – 53 .
   Web of Science ®Google Scholar
• Lucas , J. M. ( 1985 ). Counted Data Cusum's , Technometrics 27 : 129 – 144 .
   Web of Science ®Google Scholar
• Lucas , J. M. and Crosier , R. B. ( 1982 ). Fast Initial Response for Cusum Quality Control Schemes: Give Your Cusum a Head Start , Technometrics 24 : 199 – 205 .
   Web of Science ®Google Scholar
• Marshall , C. , Best , N. , Bottle , A. , and Aylin , P. ( 2004 ). Statistical Issues in the Prospective Monitoring of Health Outcomes across Multiple Units , Journal of Royal Statistical Society, Series A 167 : 541 – 559 .
   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
• Nikiforov , I. V. ( 1979 ). Cumulative Sums for Detection of Changes in Random Process Characteristics , Automation and Remote Control 40 : 192 – 200 .
   Web of Science ®Google Scholar
• Okhrin , Y. and Schmid , W. ( 2007 ). Surveillance of Univariate and Multivariate Nonlinear Time Series , in Financial Surveillance , M. Frisén , ed., pp. 153 – 177 , Chichester : Wiley .
   Google Scholar
• Page , E. S. ( 1954 ). Continuous Inspection Schemes , Biometrika 41 : 100 – 114 .
   Web of Science ®Google Scholar
• Pettersson , M. ( 1998 ). Monitoring a Freshwater Fish Population: Statistical Surveillance of Biodiversity , Environmetrics 9 : 139 – 150 .
   Web of Science ®Google Scholar
• Pettersson , M. ( 2004 ). SPC with Applications to Churn Management , Quality & Reliability Engineering International 20 : 397 – 406 .
   Web of Science ®Google Scholar
• Petzold , M. , Sonesson , C. , Bergman , E. , and Kieler , H. ( 2004 ). Surveillance in Longitudinal Models. Detection of Intrauterine Growth Retardation , Biometrics 60 : 1025 – 1033 .
   PubMed Web of Science ®Google Scholar
• Pignatiello , J. J. and Runger , G. C. ( 1990 ). Comparisons of Multivariate Cusum Charts , Journal of Quality Technology 22 : 173 – 186 .
   Web of Science ®Google Scholar
• Pollak , M. and Siegmund , D. ( 1975 ). Approximations to the Expected Sample Size of Certain Sequential Tests , Annals of Statistics 3 : 1267 – 1282 .
   Web of Science ®Google Scholar
• Pollak , M. and Siegmund , D. ( 1985 ). A Diffusion Process and Its Applications to Detecting a Change in the Drift of Brownian Motion , Biometrika 72 : 267 – 280 .
   Web of Science ®Google Scholar
• Poor , V. H. (1998). Quickest Detection with Exponential Penalty for Delay, Annals of Statistics 26: 2179–2205.
   Web of Science ®Google Scholar
• Radaelli , G. ( 1992 ). Using the Cuscore Technique in the Surveillance of Rare Health Events , Journal of Applied Statistics 19 : 75 – 81 .
   Google Scholar
• Reynolds , M. R. Jr . and Kim , K. ( 2007 ). Multivariate Control Charts for Monitoring the Process Mean and Variability Using Sequential Sampling , Sequential Analysis 26 : 283 – 315 .
   Google Scholar
• Roberts , S. W. ( 1959 ). Control Chart Tests Based on Geometric Moving Averages , Technometrics 1 : 239 – 250 .
   Google Scholar
• Roberts , S. W. ( 1966 ). A Comparison of Some Control Chart Procedures , Technometrics 8 : 411 – 430 .
   Web of Science ®Google Scholar
• Rogerson , P. A. ( 1997 ). Surveillance Systems for Monitoring the Development of Spatial Patterns , Statistics in Medicine 16 : 2081 – 2093 .
   PubMed Web of Science ®Google Scholar
• Rolka , H. , Burkom , H. , Cooper , G. F. , Kulldorff , M. , Madigan , D. , and Wong , W.-K. ( 2007 ). Issues in Applied Statistics for Public Health Bioterrorism Surveillance Using Multiple Data Streams: Research Needs , Statistics in Medicine 26 : 1834 – 1856 .
   PubMed Web of Science ®Google Scholar
• Rosolowski , M. and Schmid , W. ( 2003 ). EWMA Charts for Monitoring the Mean and the Autocovariances of Stationary Gaussian Processes , Sequential Analysis 22 : 257 – 285 .
   Google Scholar
• Ryan , T. P. ( 2000 ) . Statistical Methods for Quality Improvement , New York : Wiley .
   Google Scholar
• Sahni , N. S. , Aastveit , A. H. , and Naes , T. ( 2005 ). In-Line Process and Product Control Using Spectroscopy and Multivariate Calibration , Journal of Quality Technology 37 : 1 – 20 .
   Web of Science ®Google Scholar
• Scherer , B. and Martin , R. D. ( 2005 ) . Introduction to Modern Portfolio Optimization with Nuopt ^tm , S-Plus and S⁺ Bayes ^tm , New York : Springer .
   Google Scholar
• Schmid , W. ( 1997 ). Cusum Control Schemes for Gaussian Processes , Statistical Papers 38 : 191 – 217 .
   Web of Science ®Google Scholar
• Schmid , W. and Schöne , A. ( 1997 ). Some Properties of the EWMA Control Chart in the Presence of Autocorrelation , Annals of Statistics 25 : 1277 – 1283 .
   Web of Science ®Google Scholar
• Schmid , W. and Tzotchev , D. ( 2004 ). Statistical Surveillance of the Parameters of a One-Factor Cox-Ingersoll-Ross Model , Sequential Analysis 23 : 379 – 412 .
   Google Scholar
• Sego , L. H. , Woodall , W. H. , and Reynolds , M. R. , Jr . ( 2008 ). A Comparison of Surveillance Methods for Small Incidence Rates , Statistics in Medicine 27 : 1225 – 1247 .
   PubMed Web of Science ®Google Scholar
• Shewhart , W. A. ( 1931 ) . Economic Control of Quality of Manufactured Product , London : MacMillan .
   Google Scholar
• Shiryaev , A. N. ( 1963 ). On Optimum Methods in Quickest Detection Problems , Theory of Probability & Its Applications 8 : 22 – 46 .
   Google Scholar
• Shiryaev , A. N. ( 1999 ). Essentials of Stochastic Finance: Facts, Models, Theory , Singapore : World Scientific .
   Google Scholar
• Shiryaev , A. N. ( 2002 ). Quickest Detection Problems in the Technical Analysis of Financial Data , in Mathematical Finance—Bachelier Congress 2000 , H. Geman , D. Madan , S. Pliska , and T. Vorst , eds., pp. 487 – 521 , Berlin : Springer .
   Google Scholar
• Smith , A. F. and West , M. ( 1983 ). Monitoring Renal Transplants: An Application of the Multiprocess Kalman Filter , Biometrics 39 : 867 – 878 .
   PubMed Web of Science ®Google Scholar
• Sonesson , C. ( 2003 ). Evaluations of Some Exponentially Weighted Moving Average Methods , Journal of Applied Statistics 30 : 1115 – 1133 .
   Web of Science ®Google Scholar
• Sonesson , C. and Bock , D. ( 2003 ). A Review and Discussion of Prospective Statistical Surveillance in Public Health , Journal of Royal Statistical Society, Series A 166 : 5 – 21 .
   Google Scholar
• Sonesson , C. and Frisén , M. ( 2005 ). Multivariate Surveillance , in Spatial Surveillance for Public Health , A. Lawson and K. Kleinman , eds., pp. 169 – 186 , New York : Wiley .
   Google Scholar
• Srivastava , M. S. and Wu , Y. ( 1993 ). Comparison of EWMA, Cusum and Shiryaev-Roberts Procedures for Detecting a Shift in the Mean , Annals of Statistics 21 : 645 – 670 .
   Web of Science ®Google Scholar
• Stroup , D. F. , Brookmeyer , R. , and Kalsbeek , W. D. (2004). Public Health Surveillance in Action: A Framework, in Monitoring the Health of Populations: Statistical Principles & Methods for Public Health Surveillance , R. Brookmeyer and D. F. Stroup , eds., pp. 1–35, Oxford : Oxford University Press.
   Google Scholar
• Sullivan , J. H. and Jones , L. A. ( 2002 ). A Self-Starting Control Chart for Multivariate Individual Observations , Technometrics 44 : 24 – 33 .
   Web of Science ®Google Scholar
• Vardeman , S. and Ray , D. ( 1985 ). Average Run Lenghts for Cusum Schemes When Observations are Exponentially Distributed , Technometrics 27 : 145 – 150 .
   Web of Science ®Google Scholar
• Wärmefjord , K. ( 2004 ). Multivariate Quality Control and Diagnosis of Sources of Variation in Assembled Products. Licentiat Thesis, Department of Mathematics , Göteborg University , Sweden .
   Google Scholar
• Wessman , P. ( 1998 ). Some Principles for Surveillance Adopted for Multivariate Processes with a Common Change Point , Communications in Statistics—Theory & Methods 27 : 1143 – 1161 .
   Web of Science ®Google Scholar
• Woodall , W. H. ( 1997 ). Control Charts Based on Attribute Data: Bibliography and Review , Journal of Quality Technology 29 : 172 – 183 .
   Web of Science ®Google Scholar
• Woodall , W. H. and Montgomery , D. C. ( 1999 ). Research Issues and Ideas in Statistical Process Control , Journal of Quality Technology 31 : 376 – 386 .
   Web of Science ®Google Scholar
• Woodall , W. H. ( 2006 ). The Use of Control Charts in Health-Care Monitoring and Public-Health Surveillance , Journal of Quality Technology 38 : 89 – 134 .
   Web of Science ®Google Scholar
• Woodall , W. H. , Marshall , J. B. , Joner , J. M. D. , Fraker , S. E. , and Abdel-Salam , A.-S. G. ( 2008 ). On the Use and Evaluation of Prospective Scan Methods for Health-Related Surveillance , Journal of Royal Statistical Society, Series A 171 : 223 – 237 .
   Google Scholar
• Yashchin , E. ( 1993a ). Performance of Cusum Control Schemes for Serially Correlated Observations , Technometrics 35 : 37 – 52 .
   Web of Science ®Google Scholar
• Yashchin , E. ( 1993b ). Statistical Control Schemes—Methods, Applications and Generalizations , International Statistical Review 61 : 41 – 66 .
   Web of Science ®Google Scholar
• Recommended by Nitis Mukhopadhyay
   Google Scholar