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Editor’s special invited paper: On the efficient score vector in sequential monitoring. (English) Zbl 1489.62254

Summary: The use of the efficient score statistic in sequential monitoring procedures is reviewed and analysed. Various models that arise in applications are considered. The efficient score vector has the same optimality property as the generalized likelihood ratio, but it has a simple-structure requiring fewer estimations, and this is especially important when the data have a complicated structure. Furthermore, with the efficient score vector it is possible to detect which component of the parameter vector is different from the hypothetical or the historical value. The problems we solve here were the subjects of separate publications, but with the new methodology they are easily calculated examples.

MSC:

62L10 Sequential statistical analysis
Full Text: DOI

References:

[1] Berkes, I., Gombay, E., and Horváth, L. (2009). Testing for Changes in the Covariance Structure of Linear Processes, Journal of Statistical Planning and Inference 139: 2044-2063. · Zbl 1159.62031
[2] Berkes, I., Gombay, E., Horváth, L., and Kokoszka, P. (2004). Sequential Change-Point Detection in GARCH(p,q) Models, Econometric Theory 20: 1140-1167. · Zbl 1069.62058
[3] Berkes, I., Horváth, L., and Kokoszka, P. (2003). GARCH Processes: Structure and Estimation, Bernoulli 9: 201-227. · Zbl 1064.62094
[4] Betenski, R. A. (1996). An O’Brien-Fleming Sequential Trial for Comparing Three Treatments, Annals of Statistics 24: 1765-1791. · Zbl 1076.62545
[5] Brockwell, P. J. and Davis, R. A. (1991). Time Series, Theory and Methods, second edition, New York: Springer. · Zbl 0709.62080
[6] Chu, C.-S., Stinchcombe, M., and White, H. (1996). Monitoring Structural Change, Econometrica 64: 1045-1065. · Zbl 0856.90027
[7] Csörgő, M. and Révész, P. (1981). Strong Approximations in Probability and Statistics, New York: Academic Press. · Zbl 0539.60029
[8] Darling, D. A. and Erdős, P. (1956). A Limit Theorem for the Maximum of Normalized Sums of Independent Random Variables, Duke Mathematical Journal 23: 143-145. · Zbl 0070.13806
[9] Eberlein, E. (1986). On Strong Invariance Principles under Dependence Assumptions, Annals of Probability 14: 260-270. · Zbl 0589.60031
[10] Ghosh, B. K. and Sen, P. K. (1991). Handbook of Sequential Analysis, edited volume, New York: Dekker. · Zbl 0753.62046
[11] Ghosh, M., Mukhopadhyay, N., and Sen, P. K. (1997). Sequential Estimation, New York: Wiley. · Zbl 0953.62079
[12] Gombay, E. (1996). The Weighted Sequential Likelihood Ratio, Canadian Journal of Statistics 25: 417-423. · Zbl 0911.62018
[13] Gombay, E. (1997). The Likelihood Ratio under Noncontiguous Alternatives, Canadian Journal of Statistics 24: 229-239. · Zbl 0911.62018
[14] Gombay, E. (2002). Parametric Sequential Tests in the Presence of Nuisance Parameters, Theory of Stochastic Processes (Kiev) 8: 107-118. · Zbl 1022.62066
[15] Gombay, E. (2003). Sequential Change-Point Detection and Estimation, Sequential Analysis 22: 203-222. · Zbl 1048.62077
[16] Gombay, E. and Hussein, A. (2006). A Class of Sequential Tests for Two-Sample Composite Hypotheses, Canadian Journal of Statistics 34: 217-232. · Zbl 1142.62050
[17] Gombay, E., Hussein, A., and Steiner, S. (2011). Monitoring Binary Outcomes by Using RACHARTS: A Comparative Study, Statistics in Medicine 30: 2815-2826.
[18] Gombay, E., Hussein, A., and Steiner, S. (2015). Flexible Risk-Adjusted Surveillance Procedures for Autocorrelated Binary Series, Canadian Journal of Statistics 36: 55-72. · Zbl 1321.62106
[19] Gombay, E. and Li, F. (2015). Efficient Score Statistic in Drug and Vaccine Safety Surveillance, Sequential Analysis 34: 57-76. · Zbl 1309.62139
[20] Gombay, E., Li, F., and Yu, H. (2017). Retrospective Change Detection in Categorical Time Series, Communications in Statistics - Theory & Methods 46: 6831-6845. · Zbl 1391.62169
[21] Gombay, E. and Serban, D. (2007). Sequential Comparison of d Populations and Related Tables, Communications in Statistics - Simulation & Computation 36: 55-72. · Zbl 1113.62091
[22] Gombay, E. and Serban, D. (2008). Correction to “Sequential Comparison of d Populations and Related Tables,” Communications in Statistics - Simulation & Computation 37: 629. · Zbl 1284.62502
[23] Gombay, E. and Serban, D. (2009). Monitoring Parameter Change in AR(p) Time Series Models, Journal of Multivariate Analysis 100: 715-725. · Zbl 1163.62063
[24] Komlós, J., Major, P., and Tusnády, G. (1975). An Approximation of Partial Sums of Independent RVs and the Sample DF. I, Zeitschrift für Wahrscheinlichkeitstheorie und Verwandte Gebiete 32: 111-131. · Zbl 0308.60029
[25] Komlós, J., Major, P., and Tusnády, G. (1976). An Approximation of Partial Sums of Independent RVs and the Sample DF. II, Zeitschrift für Wahrscheinlichkeitstheorie und Verwandte Gebiete 34: 33-58. · Zbl 0307.60045
[26] Kulldorff, M., Davis, R. L., Kolczak, M., Lewis, E., Lieu, T., and Platt, R. (2011). A Maximized Sequential Probability Ratio Test for Drug and Vaccine Safety Surveillance, Sequential Analysis 30: 58-78. · Zbl 1209.62188
[27] Lehmann, E. L. (1983). Theory of Point Estimation, New York: Wiley. · Zbl 0522.62020
[28] Mukhopadhyay, N.and de Silva, B. M. (2009). Sequential Methods & their Applications, Boca Raton: Chapman and Hall/CRC. · Zbl 1277.62024
[29] O’Brien, P. C. and Fleming, T. R. (1979). A Multiple Testing Procedure for Clinical Trials, Biometrics 35: 549-556.
[30] Pocock, S. J. (1977). Group Sequential Methods in the Design and Analysis of Clinical Trials, Biometrika 64: 191-199.
[31] Robbins, M. (1974). A Sequential Test for Two Binomial Populations, Proceedings of National Academy of Sciences U.S.A. 71: 4435-4436. · Zbl 0308.62077
[32] Robbins, M. and Siegmund, D. (1972). Sequential Tests Involving Two Populations, Journal of American Statistical Association 69: 132-139. · Zbl 0296.62072
[33] Sen, P. K. (1981). Sequential Nonparametrics: Invariance Principles & Statistical Inference, New York: Wiley. · Zbl 0583.62074
[34] Serfling, R. J. (1980). Approximation Theorems of Mathematical Statistics, New York: Wiley. · Zbl 0538.62002
[35] Siegmund, D. (1980). Sequential χ^2 and F-tests and Related Confidence Intervals, Biometrika 67: 389-402. · Zbl 0437.62077
[36] Siegmund, D. (1985). Sequential Analysis: Tests & Confidence Intervals, New York: Springer. · Zbl 0573.62071
[37] Siegmund, D. (1986). A Sequential Clinical Trial for Comparing Three Treatments, Annals of Statistics 14: 464-483. · Zbl 0770.62065
[38] Siskind, V. (1964). On Certain Suggested Formulae Applied to the Sequential t-Test, Biometrika 51: 97-106. · Zbl 0124.09504
[39] Tartakovsky, A., Nikiforov, I., and Basseville, M. (2014). Sequential Analysis: Hypothesis Testing & Changepoint Detection, Boca Raton: Chapman and Hall/CRC. · Zbl 1341.62026
[40] Vostrikova, L. J. (1981). Detection of “Disorder” in a Wiener Process, Theory of Probability & Its Applications 26: 356-362. · Zbl 0481.62068
[41] Wald, A. (1947). Sequential Analysis, New York: Wiley. · Zbl 0041.26303
[42] Wald, A. and Wolfowitz, J. (1948). Optimum Character of the Sequential Probability Ratio Tests, Annals of Mathematical Statistics 19: 326-339. · Zbl 0032.17302
[43] Whitehead, J. (1978). Large Sample Sequential Methods with Application to the Analysis of 2×2 Contingecy Tables, Biometrika 65: 351-356. · Zbl 0388.62076
[44] Zacks, S. (2009). The Exact Distribution of the Stopping Times and Their Functionals in Two-Stage and Sequential Fixed-Width Confidence Intervals of the Exponential Parameter, Sequential Analysis 28: 69-81. · Zbl 1157.62052
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