I-Chen Lee

Assistant Professor

  • 23 Citations
  • 2 h-Index
20162018
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Personal profile

Education

  • 2016 PhD, Institute of Statistics, National Tsing Hua University

Research Interests

  • Analysis of product's degradation data
  • Industrial statistics
  • Optimal design in reliability
  • Reliability analysis

Experience

  • 2016/11 ~ 2017/7 Postdoctoral researcher, Institute of Statistics, National Tsing Hua University
  • 2017/8~ presemt Assistant Professor, Department of Statistics, National Cheng Kung University

Fingerprint Dive into the research topics where I-Chen Lee is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
Bayesian Design Mathematics
Accelerated Life Test Mathematics
Sequential Design Mathematics
Exponentially Weighted Moving Average Mathematics
Degradation Engineering & Materials Science
Linear Process Mathematics
Dynamic Process Mathematics
Reliability analysis Engineering & Materials Science

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Projects 2017 2018

指數分散加速衰變試驗之設計與分析

Lee, I.

17-10-0118-09-30

Project: Research project

Research Output 2016 2018

  • 23 Citations
  • 2 h-Index
  • 3 Article

Sequential Bayesian Design for Accelerated Life Tests

Lee, I-C., Hong, Y., Tseng, S. T. & Dasgupta, T., 2018 Oct 2, In : Technometrics. 60, 4, p. 472-483 12 p.

Research output: Contribution to journalArticle

Bayesian Design
Accelerated Life Test
Sequential Design
Planning
Guess
4 Citations (Scopus)

A multivariate EWMA controller for linear dynamic processes

Tseng, S. T., Mi, H. C. & Lee, I-C., 2016 Jan 2, In : Technometrics. 58, 1, p. 104-115 12 p.

Research output: Contribution to journalArticle

Exponentially Weighted Moving Average
Linear Process
Dynamic Process
Controller
Controllers
19 Citations (Scopus)

Optimum Allocation Rule for Accelerated Degradation Tests with a Class of Exponential-Dispersion Degradation Models

Tseng, S. T. & Lee, I-C., 2016 Apr 2, In : Technometrics. 58, 2, p. 244-254 11 p.

Research output: Contribution to journalArticle

Degradation
Model
Asymptotic Variance
Class
Quantile