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수진

교수진

교수
성명이현주 교수님
학력이화여자대학교 통계학과 이학박사
전공보험통계, 산업통계
연구실자연과학대학 206호
E-mailhyunjlee@hufs.ac.kr
연락처031-330-4646
학력

중앙대학교 수학과 이학사(2008)

이화여자대학교 통계학과 이학석사(2013)

이화여자대학교 통계학과 이학박사(2016)

경력

Universidad de Zaragaza, Spain, Post doctoral researcher (2017-2020)

연구분야Stochastic process, Multivariate distribution, Reliability and Actuarial science
논문

[1] Lee, H. and Cha, J. H. (2014). On construction of general classes of bivariate distributions, Journal of Multivariate Analysis, Vol. 127, pp. 151-159.

[2] Lee, H. and Cha, J. H. (2015). On two general classes of discrete bivariate distributions, American Statistician, Vol. 69, pp. 221-230.

[3] Lee, H. and Cha, J. H. (2015). Construction of two new general classes of bivariate distributions based on stochastic orders, Journal of Multivariate Analysis, Vol. 142, pp. 75-85.

[4] Lee, H. and Cha, J. H. (2016). Point process approach to modeling and analysis of general cascading failure models, Journal of Applied Probability, Vol. 53, pp. 174-186.

[5] Lee, H., Cha, J. H. and Finkelstein, M. (2016). On information-based warranty policy for repairable products from heterogeneous population, European Journal of Operational Research, Vol. 253, pp. 204-215.

[6] Lee, H. and Cha, J. H. (2016). New generalized burn-in procedure for items in stochastically evolving population, Applied Mathematical Modelling, Vol. 40, pp. 8338-8351.

[7] Lee, H. and Cha, J. H. (2016). New stochastic models for preventive maintenance and maintenance optimization, European Journal of Operational Research, Vol. 255, pp. 80-90.

[8] Lee, H. and Cha, J. H. (2017). Reliability sampling plan for repairable items following general failure process and its statistical analysis, Statistics, Vol. 51, pp. 1159-1178.

[9] Lee, H., Cha, J. H. and Pulcini G. (2017). Modeling discrete bivariate data with applications to failure and count data, Quality and Reliability Engineering International, Vol. 33, pp. 1455-1473.

[10] Lee, H. and Cha, J. H. (2017). A new general class of discrete bivariate distributions constructed by using the likelihood ratio order. Statistical Papers, Online-published
https://doi.org/10.1007/s00362-017-0969-6.

[11]. Lee, H. and Cha, J. H. (2018). A dynamic bivariate common shock model with cumulative effect and its actuarial application, Scandinavian Actuarial Journal,Vol 2018Issue 10, 890-906.

[12] Badia, G., Berrade, M. D., Cha, J. H. and Lee, H. (2018) Optimal replacement policy under a general failure and repair model: minimal versus worse than old repair, Reliability Engineering & System Safety, Vol. 180, 362-372.

[13] Lee, H. and Cha, J. H. (2019). A bivariate optimal replacement policy for a system subject to a generalized failure and repair process, Applied Stochastic Models in Business and Industry, Vol. 35, pp. 637–650.

[14] Lee, H. and Cha, J. H. (2019). On a multivariate IFR and positively dependent lifetime model induced by multiple shot-noise processes, Statistical Papers, Online-published
https://doi.org/10.1007/s00362-019-01099-7.

[15] Lee, H. (2019). A general shock model for modelling coupled lives and its application to life insurance, Communications in Statistics-Theory and Methods, Online-published
https://doi.org/10.1080/03610926.2019.1676449.

[16] Badía, G. and Lee, H.(2020). On stochastic comparison and ageing properties of multivariate proportional hazard rate mixtures, Metrika, 83(3), 355-375.(Corresponding Author)

[17] Lee, H. (2020). State-dependent age replacement policy for a system subject to cascading failures, Journal of Risk and Reliability, vol. 234(2) 

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