Adaptive Charting Schemes Based on Double Sequential Probability Ratio Tests

被引:16
|
作者
Li, Yan [1 ]
Pu, Xiaolong [1 ]
Tsung, Fugee [2 ]
机构
[1] E China Normal Univ, Sch Finance & Stat, Shanghai 200241, Peoples R China
[2] Hong Kong Univ Sci & Technol, Dept Ind Engn & Logist Management, Kowloon, Hong Kong, Peoples R China
关键词
double sequential probability ratio test (2-SPRT); control charts; variable sampling size (VSS); average time to signal (ATS); average number of observations to signal (ANOS); Gaussian quadrature; VARIABLE SAMPLING INTERVALS; KIEFER-WEISS PROBLEM; DESIGN; SIZE;
D O I
10.1002/qre.938
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Sequential probability ratio test (SPRT) control charts are shown to be able to detect most shifts in the mean or proportion substantially faster than conventional charts such as CUSUM charts. However, they are limited in applications because of the absence of the upper bound on the sample size and possibly large sample numbers during implementation. The double SPRT (2-SPRT) control chart, which applies a 2-SPRT at each sampling point, is proposed in this paper to solve some of the limitations of SPRT charts. Approximate performance measures of the 2-SPRT control chart are obtained by the backward method with the Gaussian quadrature in a computer program. On the basis of two industrial examples and simulation comparisons, we conclude that the 2-SPRT chart is competitive in that it is more sensitive and economical for small shifts and has advantages in administration because of fixed sampling points and a proper upper bound on the sample size. Copyright (C) 2008 John Wiley & Sons, Ltd.
引用
收藏
页码:21 / 39
页数:19
相关论文
共 50 条
  • [21] Secrecy Outage Probability Analysis for Full-Duplex Relaying Networks Based on Relay Selection Schemes
    Ding, Qingfeng
    Liu, Mengxia
    Deng, Yuqian
    IEEE ACCESS, 2019, 7 : 105987 - 105995
  • [22] Adaptive probability-based broadcast forwarding in energy-saving sensor networks
    Sengul, Cigdem
    Miller, Matthew J.
    Gupta, Indranil
    ACM TRANSACTIONS ON SENSOR NETWORKS, 2008, 4 (02)
  • [23] Odds ratio-based group sequential analysis for joint binomial and inverse binomial sampling
    Sarkar, Suman
    Biswas, Atanu
    SEQUENTIAL ANALYSIS-DESIGN METHODS AND APPLICATIONS, 2016, 35 (02): : 207 - 215
  • [24] An overview of channel estimation schemes based on regularized adaptive algorithms for OFDM-IDMA systems
    Oyerinde, Olutayo O.
    DIGITAL SIGNAL PROCESSING, 2018, 75 : 168 - 183
  • [25] Information Transmission Schemes Based on Adaptive Coded Modulation for UAV Surveillance Systems With Satellite Relays
    Xue, Rui
    Zhao, Mingfei
    Tang, Huaiyu
    IEEE ACCESS, 2020, 8 : 191355 - 191364
  • [26] Adaptive resource management algorithm for target tracking in radar network based on low probability of intercept
    Shi, Chenguang
    Zhou, Jianjiang
    Wang, Fei
    MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING, 2018, 29 (04) : 1203 - 1226
  • [27] Comparison of adaptive treatment strategies based on longitudinal outcomes in sequential multiple assignment randomized trials
    Li, Zhiguo
    STATISTICS IN MEDICINE, 2017, 36 (03) : 403 - 415
  • [28] CMAC-based previous step supervisory control schemes for relaxing bound in adaptive fuzzy control
    Tao, Ted
    Su, Shun-Feng
    APPLIED SOFT COMPUTING, 2011, 11 (08) : 5715 - 5723
  • [29] Adaptive group sequential survival comparisons based on log-rank and pointwise test statistics
    Feld, Jannik
    Faldum, Andreas
    Schmidt, Rene
    STATISTICAL METHODS IN MEDICAL RESEARCH, 2021, 30 (12) : 2562 - 2581
  • [30] Adaptive Robust Subspace Detection Based on GLRT, Rao, Wald, Gradient, and Durbin Tests
    Xiong, Gaoqing
    Cao, Hui
    Liu, Weijian
    Liu, Jun
    Qi, Chongying
    Zheng, Daikun
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2024, 43 (10) : 6351 - 6372