Evaluation of Shewhart time‐between‐events‐and‐amplitude control charts for correlated data

[1]  Mei-Cheng Wang,et al.  Joint Modeling and Estimation for Recurrent Event Processes and Failure Time Data , 2004, Journal of the American Statistical Association.

[2]  Michael B. C. Khoo,et al.  Simultaneous monitoring of magnitude and time-between-events data with a Max-EWMA control chart , 2020, Comput. Ind. Eng..

[3]  Min Xie,et al.  Simultaneously monitoring frequency and magnitude of events based on bivariate gamma distribution , 2017 .

[4]  Babak Farhang Moghaddam,et al.  A bivariate control chart based on copula function , 2011, 2011 IEEE International Conference on Quality and Reliability.

[5]  Thong Ngee Goh,et al.  CUSUM Chart with Transformed Exponential Data , 2006 .

[6]  M. J. Frank.  On the simultaneous associativity ofF(x, y) andx+y−F(x, y) , 1978 .

[7]  Muhammad Riaz,et al.  Cumulative quantity control chart for the mixture of inverse Rayleigh process , 2014, Comput. Ind. Eng..

[8]  T. Calvin,et al.  Quality Control Techniques for "Zero Defects" , 1983 .

[9]  Philippe Castagliola,et al.  A CUSUM scheme for event monitoring , 2013 .

[10]  Thong Ngee Goh,et al.  A control chart for the Gamma distribution as a model of time between events , 2007 .

[11]  Virginie Rondeau,et al.  Statistical models for recurrent events and death: Application to cancer events , 2010, Math. Comput. Model..

[12]  Stephen B. Vardeman,et al.  Average Run Lengths for CUSUM Schemes When Observations Are Exponentially Distributed , 1985 .

[13]  Connie M. Borror,et al.  Robustness of the time between events CUSUM , 2003 .

[14]  Yuan Cheng,et al.  One Hotelling T2 chart based on transformed data for simultaneous monitoring the frequency and magnitude of an event , 2014, 2014 IEEE International Conference on Industrial Engineering and Engineering Management.

[15]  Loon Ching Tang,et al.  Statistical trend tests for resilience of power systems , 2018, Reliab. Eng. Syst. Saf..

[16]  Rassoul Noorossana,et al.  A Copula Markov CUSUM Chart for Monitoring the Bivariate Auto‐correlated Binary Observations , 2013, Qual. Reliab. Eng. Int..

[17]  M. Sklar.  Fonctions de repartition a n dimensions et leurs marges , 1959 .

[18]  Philippe Castagliola,et al.  Evaluation of Shewhart time-between-events-and-amplitude control charts for several distributions , 2019, Quality Engineering.

[19]  Saowanit Sukparungsee,et al.  Bivariate copulas on the Hotelling's T2 control chart , 2018, Commun. Stat. Simul. Comput..

[20]  P. Busababodhin,et al.  Copula modelling for multivariate statistical process control: a review , 2016 .

[21]  Sajid Ali,et al.  Time and magnitude monitoring based on the renewal reward process , 2018, Reliab. Eng. Syst. Saf..

[22]  Jianxin Jiao,et al.  A single control chart for monitoring the frequency and magnitude of an event , 2009 .

[23]  Min Xie,et al.  Monitoring of Time-Between-Events with a Generalized Group Runs Control Chart , 2016, Qual. Reliab. Eng. Int..

[24]  Fah Fatt Gan,et al.  Designs of One- and Two-Sided Exponential EWMA Charts , 1998 .

[25]  D. Clayton.  A model for association in bivariate life tables and its application in epidemiological studies of familial tendency in chronic disease incidence , 1978 .

[26]  Thong Ngee Goh,et al.  Cumulative quantity control charts for monitoring production processes , 2000 .

[27]  Philippe Castagliola,et al.  A CUSUM chart for detecting the intensity ratio of negative events , 2018, Int. J. Prod. Res..

[28]  M. Xie,et al.  Monitoring time-between-events for health management , 2010, 2010 Prognostics and System Health Management Conference.

[29]  Mei-Cheng Wang,et al.  Analyzing Recurrent Event Data With Informative Censoring , 2001, Journal of the American Statistical Association.

[30]  Patrick D. Bourke,et al.  The geometric CUSUM chart with sampling inspection for monitoring fraction defective , 2001 .

[31]  Thong Ngee Goh,et al.  Some effective control chart procedures for reliability monitoring , 2002, Reliab. Eng. Syst. Saf..

[32]  Loon Ching Tang,et al.  Modeling the recovery process: A key dimension of resilience , 2019, Reliab. Eng. Syst. Saf..

[33]  Zhang Wu,et al.  A control scheme for monitoring the frequency and magnitude of an event , 2009 .

[34]  James M. Lucas,et al.  Counted Data CUSUM's , 1985 .

[35]  Z. Wu,et al.  A single chart for monitoring frequency and magnitude of events , 2010, 2010 IEEE International Conference on Industrial Engineering and Engineering Management.

[36]  Jaime A. Camelio,et al.  Cumulative Sum Control Charts for Monitoring Weibull-distributed Time Between Events , 2015, Qual. Reliab. Eng. Int..