Performance comparison of some likelihood ratio-based statistical surveillance methods

被引:15
|
作者
Mahmoud, Mahmoud A. [1 ]
Woodall, William H. [2 ]
Davis, Robert E. [3 ]
机构
[1] Cairo Univ, Fac Econ & Polit Sci, Dept Stat, Cairo, Egypt
[2] Virginia Tech, Dept Stat, Blacksburg, VA USA
[3] TransUnion CRIF, Tampa, FL USA
关键词
CUSUM chart; likelihood ratio; Shiryayev-Roberts chart; Shewhart chart; statistical process control; statistical surveillance;
D O I
10.1080/02664760802005878
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Using Markov chain representations, we evaluate and compare the performance of cumulative sum (CUSUM) and Shiryayev-Roberts methods in terms of the zero- and steady-state average run length and worst-case signal resistance measures. We also calculate the signal resistance values from the worst- to the best-case scenarios for both the methods. Our results support the recommendation that Shewhart limits be used with CUSUM and Shiryayev-Roberts methods, especially for low values of the size of the shift in the process mean for which the methods are designed to detect optimally.
引用
收藏
页码:783 / 798
页数:16
相关论文
共 50 条
  • [31] Where the science ends and the law begins: likelihood ratio-based forensic voice comparison in a $150 million telephone fraud
    Rose, Phil
    INTERNATIONAL JOURNAL OF SPEECH LANGUAGE AND THE LAW, 2013, 20 (02) : 277 - 324
  • [32] Analytical method transfer: Improving interpretability with ratio-based statistical approaches
    Froemke, C.
    Hothorn, L. A.
    Sczesny, F.
    Onken, J.
    Schneider, M.
    JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2013, 74 : 186 - 193
  • [33] A comparison of ratio-based and covariance analyses of a nutritional data set
    Beaupre, SJ
    Dunham, AE
    FUNCTIONAL ECOLOGY, 1995, 9 (06) : 876 - 880
  • [34] A Likelihood ratio-based forensic voice comparison in microphone vs. mobile mismatched conditions using Japanese /ai/
    Carne, Michael J.
    16TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2015), VOLS 1-5, 2015, : 3471 - 3475
  • [35] Fast and Accurate Likelihood Ratio-Based Biometric Verification Secure Against Malicious Adversaries
    Bassit, Amina
    Hahn, Florian
    Peeters, Joep
    Kevenaar, Tom
    Veldhuis, Raymond
    Peter, Andreas
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2021, 16 : 5045 - 5060
  • [36] Sub-band reserved likelihood ratio-based robust voice activity detection
    School of Electronic and Information Engineering, South China University of Technology, Guangzhou
    510641, China
    Huazhong Ligong Daxue Xuebao, 11 (78-82):
  • [37] Performance ratio-based coherent risk measure and its application
    Chen, Zhiping
    Hu, Qianhui
    Lin, Ruiyue
    QUANTITATIVE FINANCE, 2016, 16 (05) : 681 - 693
  • [38] Evaluations of likelihood ratio methods for surveillance.: Differences and robustness.
    Frisén, M
    Wessman, P
    COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 1999, 28 (03) : 597 - 622
  • [39] A Likelihood Ratio-based Approach to Bleed Valve Event Detection in Gas Turbine Engines
    Li, Ping
    Jayasuriya, Joshua
    Hills, Andrew
    Mills, Andrew R.
    Kadirkamanathan, Visakan
    2018 UKACC 12TH INTERNATIONAL CONFERENCE ON CONTROL (CONTROL), 2018, : 408 - 413
  • [40] Improving biometric device interoperability by likelihood ratio-based quality dependent score normalization
    Poh, Norman
    Kittler, Josef
    Bourlai, Thirimachos
    2007 FIRST IEEE INTERNATIONAL CONFERENCE ON BIOMETRICS: THEORY, APPLICATIONS AND SYSTEMS, 2007, : 325 - 329