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Theory of Probability and Mathematical Statistics

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Robustness of sequential hypotheses testing for heterogeneous independent observations


Authors: A. Yu. Kharin and T. T. Tu
Journal: Theor. Probability and Math. Statist. 100 (2020), 169-179
MSC (2010): Primary 62L10, 62F35
DOI: https://doi.org/10.1090/tpms/1104
Published electronically: August 5, 2020
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Abstract | References | Similar Articles | Additional Information

Abstract: The problem of robustness for truncated sequential tests of two simple hypotheses is considered for the model of heterogeneous independent observations under distortions. An approach for performance characteristics calculation is proposed. Asymptotic analysis of robustness is performed. A family of robustified sequential tests is constructed. Numerical examples illustrate the theoretical results.


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References
  • Allan Gut, Probability: a graduate course, Springer Texts in Statistics, Springer, New York, 2005. MR 2125120
  • B. K. Ghosh, A brief history of sequential analysis, Handbook of sequential analysis, Statist. Textbooks Monogr., vol. 118, Dekker, New York, 1991, pp. 1–19. MR 1174297
  • Peter J. Huber, Robust statistics, John Wiley & Sons, Inc., New York, 1981. Wiley Series in Probability and Mathematical Statistics. MR 606374
  • A. Yu. Kharin, Robust Bayesian prediction under distortions of prior and conditional distributions, J. Math. Sci. (N.Y.) 126 (2005), no. 1, 992–997. Statistical methods of estimation and testing of hypotheses. MR 2160291, DOI https://doi.org/10.1007/s10958-005-0110-6
  • Alexey Yu. Kharin and Pavel A. Shlyk, Robust multivariate Bayesian forecasting under functional distortions in the $\chi ^2$-metric, J. Statist. Plann. Inference 139 (2009), no. 11, 3842–3846. MR 2553770, DOI https://doi.org/10.1016/j.jspi.2009.05.022
  • Alexey Kharin, Performance and robustness evaluation in sequential hypotheses testing, Comm. Statist. Theory Methods 45 (2016), no. 6, 1693–1709. MR 3473943, DOI https://doi.org/10.1080/03610926.2014.944659
  • A. Yu. Kharin, Robustness of sequential testing of hypotheses on parameters of $M$-valued random sequences, J. Math. Sci. (N.Y.) 189 (2013), no. 6, 924–931. MR 3049159, DOI https://doi.org/10.1007/s10958-013-1233-9
  • A. Kharin and Ton That Tu, Performance and robustness analysis of sequential hypotheses testing for time series with trend, Austrian J. Statist. 46 (2017), no. 3–4, 23–36.
  • G. G. Kosenko, V. P. Harchenko, and A. G. Kukush, Threshold choice in many-alternative subsequent rule for given mean risk, Radioelectronics and Communications Systems 39 (1996), no. 8, 38–42.
  • Tze Leung Lai, Sequential analysis: some classical problems and new challenges, Statist. Sinica 11 (2001), no. 2, 303–408. With comments and a rejoinder by the author. MR 1844531
  • Peter R. Mercer, Hadamard’s inequality and trapezoid rules for the Riemann-Stieltjes integral, J. Math. Anal. Appl. 344 (2008), no. 2, 921–926. MR 2426320, DOI https://doi.org/10.1016/j.jmaa.2008.03.026
  • Nitis Mukhopadhyay, Sujay Datta, and Saibal Chattopadhyay (eds.), Applied sequential methodologies, Statistics: Textbooks and Monographs, vol. 173, Marcel Dekker, Inc., New York, 2004. Real-world examples with data analysis. MR 2159146
  • Walter Rudin, Principles of mathematical analysis, 3rd ed., McGraw-Hill Book Co., New York-Auckland-DĂĽsseldorf, 1976. International Series in Pure and Applied Mathematics. MR 0385023
  • Abraham Wald, Sequential Analysis, John Wiley & Sons, Inc., New York; Chapman & Hall, Ltd., London, 1947. MR 0020764

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Additional Information

A. Yu. Kharin
Affiliation: Belarusian State University, Independence Avenue 4, Minsk 220030, Belarus
Email: kharinay@bsu.by

T. T. Tu
Affiliation: University of Science and Education, The University of Danang, Danang, Vietnam
Email: tttu@ued.udn.vn

Keywords: Truncated sequential test, heterogeneous observations, distortions, robustness, error probabilities, expected sample size
Received by editor(s): March 16, 2019
Published electronically: August 5, 2020
Article copyright: © Copyright 2020 American Mathematical Society