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Communications in Statistics - Theory and Methods Volume 41, 2012 - Issue 2
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Original Articles

Shocks as Burn-In in Heterogeneous Populations

Ji Hwan Cha Department of Statistics, Ewha Womans University, Seoul, KoreaCorrespondence[email protected]
&
Maxim Finkelstein Department of Mathematical Statistics, University of the Free State, Bloemfontein, South Africa; Max Planck Institute for Demographic Research, Rostock, Germany
Pages 325-340 | Received 23 Dec 2009, Accepted 13 Sep 2010, Published online: 06 Dec 2011

Citations (5)

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Read on this site (1)

Ji Hwan Cha & Jie Mi. (2016) Dynamic mixing probability measures of mixtures. Communications in Statistics - Theory and Methods 45:16, pages 4824-4839.
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Articles from other publishers (4)

Zhen Chen, Tangbin Xia, Yaping Li & Ershun Pan. (2018) Degradation modeling and classification of mixed populations using segmental continuous hidden Markov models . Quality and Reliability Engineering International 34:5, pages 807-823.
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Ji Hwan Cha & Gianpaolo Pulcini. (2016) Optimal burn-in procedure for mixed populations based on the device degradation process history. European Journal of Operational Research 251:3, pages 988-998.
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M. R. SanatkarC. ScoglioB. NatarajanS. A. IsardK. A. Garrett. (2015) History, Epidemic Evolution, and Model Burn-In for a Network of Annual Invasion: Soybean Rust. Phytopathology® 105:7, pages 947-955.
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Ji Hwan Cha & Gianpaolo Pulcini. (2016) Burn-in Procedure Based on a Dependent Covariate Process. Advances in Applied Probability 47:2, pages 506-529.
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