Relevant bibliographies by topics / Sequential probability ratio test

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  2. Dissertations / Theses
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Academic literature on the topic 'Sequential probability ratio test'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Sequential probability ratio test"

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Pramanik, Sandipan, Valen E. Johnson, and Anirban Bhattacharya. "A modified sequential probability ratio test." Journal of Mathematical Psychology 101 (April 2021): 102505. http://dx.doi.org/10.1016/j.jmp.2021.102505.

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Liu, Yu, and X. Rong Li. "Performance Analysis of Sequential Probability Ratio Test." Sequential Analysis 32, no. 4 (2013): 469–97. http://dx.doi.org/10.1080/07474946.2013.843329.

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Roller, William F. "A two- sample partially sequential probability ratio test." Communications in Statistics - Theory and Methods 17, no. 9 (1988): 2907–20. http://dx.doi.org/10.1080/03610928808829779.

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Stute, W. "The sequential probability ratio test under random censorship." Metrika 44, no. 1 (1996): 1–8. http://dx.doi.org/10.1007/bf02614050.

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Kleijnen, Jack P. C., and Wen Shi. "Sequential probability ratio tests: conservative and robust." SIMULATION 97, no. 1 (2020): 33–43. http://dx.doi.org/10.1177/0037549720954916.

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Because computers (except for parallel computers) generate simulation outputs sequentially, we recommend sequential probability ratio tests (SPRTs) for the statistical analysis of these outputs. However, until now simulation analysts have ignored SPRTs. To change this situation, we review SPRTs for the simplest case; namely, the case of choosing between two hypothesized values for the mean simulation output. For this case, the classic SPRT of Wald (Wald A. Sequential tests of statistical hypotheses. Ann Math Stat 1945; 16: 117–186) allows general types of distribution, including normal distrib
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Koch, Mark W., Greg B. Haschke, and Kevin T. Malone. "Classifying Acoustic Signatures Using the Sequential Probability Ratio Test." Sequential Analysis 23, no. 4 (2004): 557–83. http://dx.doi.org/10.1081/sqa-200038996.

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Gross, Kenny C., and Keith E. Humenik. "Sequential Probability Ratio Test for Nuclear Plant Component Surveillance." Nuclear Technology 93, no. 2 (1991): 131–37. http://dx.doi.org/10.13182/nt91-a34499.

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Kira, Shinichiro, Tianming Yang, and Michael N. Shadlen. "A Neural Implementation of Wald’s Sequential Probability Ratio Test." Neuron 85, no. 4 (2015): 861–73. http://dx.doi.org/10.1016/j.neuron.2015.01.007.

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Gardonyi, Gabor, Gabor Por, and Krisztian Samu. "An Enhanced Evaluation Method of Sequential Probability Ratio Test." Mathematical Problems in Engineering 2019 (March 18, 2019): 1–12. http://dx.doi.org/10.1155/2019/4724507.

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Accurate event detection has high priority in many technical applications. Events in acquired data series, their duration, and statistical parameters provide useful information about the observed system and about its current state. This information can be used for condition monitoring, state identification, and many kinds of forecasting as well. In some cases background noise covers the events and simple threshold or power monitoring methods cannot be used effectively. A novel method called Scaled Sequential Probability Ratio Test (SSPRT) produces 2D array of data via special cumulative sum ca
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Carpenter, J. Russell, F. Landis Markley, and Dara Gold. "Sequential Probability Ratio Test for Collision Avoidance Maneuver Decisions." Journal of the Astronautical Sciences 59, no. 1-2 (2012): 267–80. http://dx.doi.org/10.1007/s40295-013-0017-2.

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Dissertations / Theses on the topic "Sequential probability ratio test"

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Starvaggi, Patrick William. "Exact Distributions of Sequential Probability Ratio Tests." Kent State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=kent1397042380.

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Krantz, Elizabeth. "Sharpening the Boundaries of the Sequential Probability Ratio Test." TopSCHOLAR®, 2012. http://digitalcommons.wku.edu/theses/1169.

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In this thesis, we present an introduction to Wald’s Sequential Probability Ratio Test (SPRT) for binary outcomes. Previous researchers have investigated ways to modify the stopping boundaries that reduce the expected sample size for the test. In this research, we investigate ways to further improve these boundaries. For a given maximum allowable sample size, we develop a method intended to generate all possible sets of boundaries. We then find the one set of boundaries that minimizes the maximum expected sample size while still preserving the nominal error rates. Once the satisfying boundarie
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Eger, Karl-Heinz, and Evgeni Borisovich Tsoy. "Sequential probability ratio tests based on grouped observations." Universitätsbibliothek Chemnitz, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-201000938.

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This paper deals with sequential likelihood ratio tests based on grouped observations. It is demonstrated that the method of conjugated parameter pairs known from the non-grouped case can be extended to the grouped case obtaining Waldlike approximations for the OC- and ASN- function. For near hypotheses so-called F-optimal groupings are recommended. As example an SPRT based on grouped observations for the parameter of an exponentially distributed random variable is considered.
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Eger, Karl-Heinz, and Evgeni Borisovich Tsoy. "Robustness of Sequential Probability Ratio Tests in Case of Nuisance Parameters." Universitätsbibliothek Chemnitz, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-201000949.

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This paper deals with the computation of OC- and ASN-function of sequential probability ratio tests in the multi-parameter case. In generalization of the method of conjugated parameter pairs Wald-like approximations are presented for the OC- and ASN-function. These characteristics can be used describing robustness properties of a sequential test in case of nuisance parameters. As examples tests are considered for the mean and the variance of a normal distribution.
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Ezzet, F. L. "Applied sequential methods : Robustness studies and procedures for detecting parameter changes." Thesis, University of Nottingham, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.353915.

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Yu, Xiaomin. "Simulation Study of Sequential Probability Ratio Test (SPRT) in Monitoring an Event Rate." University of Cincinnati / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1244562576.

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Cox, Timothy F. "ANALYSIS OF AN ADAPTIVE SEQUENTIAL PROBABILITY RATIO TEST TYPE OF PCM FRAME SYNCHRONIZER." International Foundation for Telemetering, 1986. http://hdl.handle.net/10150/615275.

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International Telemetering Conference Proceedings / October 13-16, 1986 / Riviera Hotel, Las Vegas, Nevada<br>A simple adaptive algorithm is employed in the determination of operating parameters for a sequential probability ratio test (SPRT) type of PCM frame synchronizer. Performance data over a wide range of bit error rates are obtained by computer simulation. These data show a significant improvement in lock-to-search transition performance of the SPRT over the so-called conventional type of synchronizer.
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Shieh, Jung-Sheng. "Some applications of the Bechhofer-Kiefer-Sobel generalized sequential probability ratio test to software reliability testing." Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/28928.

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Ganesan, Rajesh. "Process monitoring and feedback control using multiresolution analysis and machine learning." [Tampa, Fla] : University of South Florida, 2005. http://purl.fcla.edu/usf/dc/et/SFE0001248.

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Ru, Jifeng. "Adaptive estimation and detection techniques with applications." ScholarWorks@UNO, 2005. http://louisdl.louislibraries.org/u?/NOD,285.

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Thesis (Ph. D.)--University of New Orleans, 2005.<br>Title from electronic submission form. "A dissertation ... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Engineering and Applied Science"--Dissertation t.p. Vita. Includes bibliographical references.
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Books on the topic "Sequential probability ratio test"

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Spray, Judith A. Multiple-category classification using a sequential probability ratio test. American College Testing Program, 1993.

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Spray, Judith A. Multiple-category classification using a sequential probability ratio test. American College Testing Program, 1993.

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Spray, Judith A. Multiple-category classification using a sequential probability ratio test. American College Testing Program, 1993.

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Lin, Chuan-Ju. Effects of item-selection criteria on classification testing with the sequential probability ratio test. ACT, Inc., 2000.

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Lin, Chuan-Ju. Effects of item-selection criteria on classification testing with the sequential probability ratio test. ACT, Inc., 2000.

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Lin, Chuan-Ju. Effects of item-selection criteria on classification testing with the sequential probability ratio test. ACT, Inc., 2000.

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Jain, Sudah. Sequential probability ratio test to control the traffic intensity for M/M/1 queueing model. University of Toronto, Dept. of Statistics, 1994.

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Spray, Judith A. The effect of item parameter estimation error on decisions made using the sequential probability ratio test. American College Testing Program, 1988.

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Srivastava, M. S. Saddlepoint method for obtaining tail probability of Wilk's likelihood ratio test. University of Toronto, Dept. of Statistics, 1988.

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Consortium for Mathematics and Its Applications (U.S.), Chedd-Angier Production Company, American Statistical Association, and Annenberg Media, eds. Against all odds--inside statistics: Disc 3, programs 9-12. Annenberg Media, 2011.

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Book chapters on the topic "Sequential probability ratio test"

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Siegmund, David. "The Sequential Probability Ratio Test." In Sequential Analysis. Springer New York, 1985. http://dx.doi.org/10.1007/978-1-4757-1862-1_2.

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Piegorsch, Walter W., and William J. Padgett. "Sequential Probability Ratio Test." In International Encyclopedia of Statistical Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04898-2_510.

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Piegorsch, Walter W., and William J. Padgett. "Sequential Probability Ratio Test." In International Encyclopedia of Statistical Science. Springer Berlin Heidelberg, 2025. https://doi.org/10.1007/978-3-662-69359-9_558.

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Nguyen, Hung T., and Gerald S. Rogers. "Sequential Probability Ratio Tests." In Springer Texts in Statistics. Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4613-8914-9_48.

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Rojo, Javier. "10. Sequential Probability Ratio Tests." In Selected Works of E. L. Lehmann. Springer US, 2011. http://dx.doi.org/10.1007/978-1-4614-1412-4_18.

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Torgersen, E. "More Optimality Properties of the Sequential Probability Ratio Test." In Festschrift for Lucien Le Cam. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1880-7_26.

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Albrecher, Hansjoerg, and Oscar Peralta. "The Matrix Sequential Probability Ratio Test and Multivariate Ruin Theory." In MATRIX Book Series. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-47417-0_26.

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Kiefer, J., and Lionel Weiss. "Some Properties of Generalized Sequential Probability Ratio Tests." In Collected Papers. Springer US, 1985. http://dx.doi.org/10.1007/978-1-4613-8505-9_20.

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Seo, Changwoo, Keunho Sim, Eunyoung Kim, Heeae Ko, and Younghwan Lim. "Speaker Verification System Using Extended Sequential Probability Ratio Test in PDA." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02472-6_17.

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Yuan, Ding, and Warnick Kernan. "Sequential Probability Ratio Test (SPRT) for Dynamic Radiation Level Determination – Preliminary Assessment." In Computational Science – ICCS 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11758501_28.

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Conference papers on the topic "Sequential probability ratio test"

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Liu, Cuiyu, Hao Li, Dongpeng Li, Shenhang Wang, Yang Yu, and Jingyi Chen. "A Sequential Probability Ratio Based Lifetime Prediction Method for Electronic Systems." In 2024 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC). IEEE, 2024. http://dx.doi.org/10.1109/sdpc62810.2024.10707757.

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Bándi, Nándor. "Improving the Nested Markov Chain Hyper-Heuristic (NMHH) Framework Efficiency Through Sequential Probability Ratio Testing." In 2024 26th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC). IEEE, 2024. https://doi.org/10.1109/synasc65383.2024.00022.

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Li, X. R., and Lu Wang. "Fault detection using sequential probability ratio test." In IEEE Power Engineering Society. 1999 Winter Meeting (Cat. No.99CH36233). IEEE, 1999. http://dx.doi.org/10.1109/pesw.1999.747296.

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Lin, Yu-Chuan, and C. C. Jay Kuo. "Modulation recognition via sequential probability ratio test." In SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, edited by Franklin T. Luk. SPIE, 1995. http://dx.doi.org/10.1117/12.211414.

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Matas, J., and O. Chum. "Randomized RANSAC with sequential probability ratio test." In Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1. IEEE, 2005. http://dx.doi.org/10.1109/iccv.2005.198.

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Li, Shang, and Xiaodong Wang. "Asymptotic optimality of consensus-based sequential probability ratio test." In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2017. http://dx.doi.org/10.1109/icassp.2017.7953394.

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Akl, Naeem, and Ahmed Tewfik. "Parametrized design of the generalized sequential probability ratio test." In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2017. http://dx.doi.org/10.1109/icassp.2017.7953396.

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Chao, Wang, Qiu Jing, Liu Guan-jun, Zhang Yong, and Zhao Chen-xu. "Testability verification based on sequential probability ratio test method." In 2013 IEEE AUTOTESTCON. IEEE, 2013. http://dx.doi.org/10.1109/autest.2013.6645066.

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Jarman, K. D., L. E. Smith, D. K. Carlson, and D. N. Anderson. "Sequential probability ratio test for long-term radiation monitoring." In 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515). IEEE, 2003. http://dx.doi.org/10.1109/nssmic.2003.1351969.

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O'Mahony, N., C. O'Driscoll, and C. C. Murphy. "Performance of Sequential Probability Ratio Test for GPS Acquisition." In ICC 2009 - 2009 IEEE International Conference on Communications. IEEE, 2009. http://dx.doi.org/10.1109/icc.2009.5199333.

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Reports on the topic "Sequential probability ratio test"

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SOHN, HOON, DAVID W. ALLEN, KEITH WORDEN, and CHARLES R. FARRAR. STATISTICAL DAMAGE CLASSIFICATION USING SEQUENTIAL PROBABILITY RATIO TESTS. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/808089.

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Samn, Sherwood. Numerical Solution of a Singular Integral Equation Arising from a Sequential Probability Ratio Test. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada293463.

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Pilkevych, Ihor, Oleg Boychenko, Nadiia Lobanchykova, Tetiana Vakaliuk, and Serhiy Semerikov. Method of Assessing the Influence of Personnel Competence on Institutional Information Security. CEUR Workshop Proceedings, 2021. http://dx.doi.org/10.31812/123456789/4374.

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Modern types of internal threats and methods of counteracting these threats are analyzed. It is established that increasing the competence of the staff of the institution through training (education) is the most effective method of counteracting internal threats to information. A method for assessing the influence of personnel competence on institutional information security is proposed. This method takes into account violator models and information threat models that are designed for a specific institution. The method proposes to assess the competence of the staff of the institution by three
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INVESTIGATION ON BEHAVIOR OF STEEL CABLES SUBJECT TO LOCALIZED FIRE IN LARGE-SPACE BUILDINGS. The Hong Kong Institute of Steel Construction, 2024. http://dx.doi.org/10.18057/ijasc.2024.20.1.1.

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Pre-tensioned steel cable is a crucial load-bearing component of steel structure, the fire behavior of which affects the overall performance of the structure. However, it presently lacks research and fire safety design method to consider steel cable members subject to localized large-space building fire. In this paper, the mechanical behavior of normal steel strand cable and full-locked steel cable under large-space building fire is investigated, to provide guidance for the fire safety design of steel cable. Firstly, the numerical model of temperature field of steel cables subject to large-spa
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