Profile monitoring for a binary response

被引:105
|
作者
Yeh, Arthur B. [1 ]
Huwang, Longcheen [2 ]
Li, Yu-Mei [2 ]
机构
[1] Bowling Green State Univ, Dept Operat Res & Appl Stat, Bowling Green, OH 43403 USA
[2] Natl Tsing Hua Univ, Inst Stat, Hsinchu, Taiwan
关键词
Binary response; Hotelling T-2; logistic regression; Phase I control; profile monitoring; MULTIVARIATE CONTROL CHARTS; LINEAR PROFILES; PRODUCT;
D O I
10.1080/07408170902735400
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Pertaining to industrial applications in which the response variable of interest is binary, this paper studies how the profile functional relationship between the response and predictor variables can be monitored using logistic regression. Under such a premise, several Hotelling T-2 charts that have been studied under continuous response variable to binary response variable for the purpose of Phase I profile monitoring are extended. The performance of these T-2 charts in terms of the signal probability for different out-of-control scenarios is compared based on simulation studies. A real example originated from aircraft construction is given in which these T-2 charts are applied and compared using the data. A discussion of potential future research is also given.
引用
收藏
页码:931 / 941
页数:11
相关论文
共 50 条
  • [21] Phase II profile monitoring based on proportional odds models
    Huwang, Longcheen
    Wang, Yi-Hua Tina
    Yeh, Arthur B.
    Huang, Yi-Heng
    COMPUTERS & INDUSTRIAL ENGINEERING, 2016, 98 : 543 - 553
  • [22] Nonparametric profile monitoring in multi-dimensional data spaces
    Hung, Ying-Chao
    Tsai, Wen-Chi
    Yang, Su-Fen
    Chuang, Shih-Chung
    Tseng, Yi-Kuan
    JOURNAL OF PROCESS CONTROL, 2012, 22 (02) : 397 - 403
  • [23] Functional EWMA control chart for phase II profile monitoring
    Naeem, Noreen
    Ali, Sajid
    Shah, Ismail
    JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2025, 95 (01) : 96 - 116
  • [24] Profile monitoring in the presence of outliers
    Ebrahim Farahani
    Rassoul Noorossana
    Mehdi Koosha
    The International Journal of Advanced Manufacturing Technology, 2014, 74 : 251 - 256
  • [25] Cluster-Based Profile Analysis in Phase I
    Chen, Yajuan
    Birch, Jeffrey B.
    Woodall, William H.
    JOURNAL OF QUALITY TECHNOLOGY, 2015, 47 (01) : 14 - 29
  • [26] Instrument Assisted Regression for Errors in Variables Models with Binary Response
    Xu, Kun
    Ma, Yanyuan
    Wang, Liqun
    SCANDINAVIAN JOURNAL OF STATISTICS, 2015, 42 (01) : 104 - 117
  • [27] Monitoring nonlinear profile data using support vector regression method
    Li, Chung-I
    Pan, Jeh-Nan
    Liao, Chun-Han
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2019, 35 (01) : 127 - 135
  • [28] In-profile monitoring on univariate profile with application to industrial busbar
    Zhang, Wei
    He, Zhen
    He, Shuguang
    Niu, Zhanwen
    Yanfen, Shang
    Song, Lisha
    IISE TRANSACTIONS, 2024,
  • [29] Fault Detection of Fuel Systems Using Polynomial Regression Profile Monitoring
    Awad, Mahmoud
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2017, 33 (04) : 905 - 920
  • [30] Change point estimation in phase I monitoring of logistic regression profile
    Zand, Ahmad
    Yazdanshenas, Nima
    Amiri, Amirhossein
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2013, 67 (9-12) : 2301 - 2311