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ALTopt: An R package for optimal experimental design of accelerated life testing
Kangwon Seo,
Rong Pan
Computer Science and Engineering
Industrial, Systems and Operations Engineering
Computing and Augmented Intelligence, School of (IAFSE-SCAI)
Research output
:
Contribution to journal
›
Article
›
peer-review
4
Scopus citations
Overview
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Dive into the research topics of 'ALTopt: An R package for optimal experimental design of accelerated life testing'. Together they form a unique fingerprint.
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Mathematics
Accelerated Life Testing
100%
Optimal Experimental Design
98%
Accelerated Life Test
95%
Optimality
38%
Prediction
36%
D-optimality
32%
Failure Time Data
29%
Information Matrix
27%
Optimality Criteria
25%
Generalized Linear Model
24%
Weibull Distribution
23%
Planning
23%
Censoring
23%
Parameter Estimation
20%
Graphics
19%
Evaluation
16%
Design
14%
Model
7%
Business & Economics
Experimental Design
85%
Optimality
64%
Testing
57%
D-optimality
32%
Prediction
28%
Censoring
24%
Weibull Distribution
23%
Generalized Linear Model
22%
Parameter Estimation
19%
Matrix
15%
Planning
13%
Evaluation
9%
Factors
5%