Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Chien-Yu Peng"'
Autor:
Yueh-Hao Ronny Hung, Chien-Yu Peng, Mei-Ying Huang, Wen-Jung Lu, Hsuan-Ju Lin, Chih-Ling Hsu, Ming-Chih Fang, Hong-Ting Victor Lin
Publikováno v:
Fermentation, Vol 9, Iss 2, p 135 (2023)
Seaweeds have a variety of biological activities, and their aromatic characteristics could play an important role in consumer acceptance. Here, changes in aroma compounds were monitored during microbial fermentation, and those most likely to affect s
Externí odkaz:
https://doaj.org/article/8e84cb79fe59445b97b6fd51f190074a
Autor:
Chien-Yu Peng
Publikováno v:
Journal of Applied Mathematics, Vol 2013 (2013)
The (Cauchy) principal value is a method for assigning values to certain improper integrals which would otherwise be undefined. Using the principal value sense, this study derives an explicit expression of the first negative moment of skew-t and gene
Externí odkaz:
https://doaj.org/article/5c2e9f16189e4302abf54dfdfafae86b
Autor:
Chien-Yu Peng, Ya-Shan Cheng
Publikováno v:
Journal of Statistical Software, Vol 49, Iss 2 (2012)
Degradation models are widely used to assess the lifetime information for highly reliable products with quality characteristics whose degradation over time can be related to reliability. The performance of a degradation model largely depends on an ap
Externí odkaz:
https://doaj.org/article/734d7fa4bd89467093d43162d9f0c960
Autor:
Chien-Yu Peng, 彭健育
96
Degradation models have been widely used to assess the lifetime information of highly reliable products. The performance of a degradation analysis strongly depends on the modeling of product’s degradation path. For designing and analyzing t
Degradation models have been widely used to assess the lifetime information of highly reliable products. The performance of a degradation analysis strongly depends on the modeling of product’s degradation path. For designing and analyzing t
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/23708605367512936443
Publikováno v:
Lifetime Data Analysis. 28:401-427
The heterogeneous inverse Gaussian (IG) process is one of the most popular and most considered degradation models for highly reliable products. One difficulty with heterogeneous IG processes is the lack of analytic expressions for the Fisher informat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c62a9d2f6f935a6ca10848952d02ae48
https://doi.org/10.1007/s10985-022-09556-6
https://doi.org/10.1007/s10985-022-09556-6
Autor:
Chien-Yu Peng, Sheng-Tsaing Tseng
Publikováno v:
Journal of Data Science. 5:315-333
Accelerated degradation tests (ADTs) can provide timely reliability information of product. Hence ADTs have been widely used to assess the lifetime distribution of highly reliable products. In order to properly predict the lifetime distribution, mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30b0c4dafc256302459f40cc3b7622a7
https://doi.org/10.6339/jds.2007.05(3).351
https://doi.org/10.6339/jds.2007.05(3).351
Autor:
Chien-Yu Peng, Ya-Shan Cheng
Publikováno v:
Naval Research Logistics (NRL). 68:951-962
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14438e3ad1546a169d110b591f53175e
https://doi.org/10.1002/nav.21979
https://doi.org/10.1002/nav.21979
Autor:
Chien-Yu Peng, Ya-Shan Cheng
Publikováno v:
Technometrics. 62:223-235
Stochastic processes are widely used to analyze degradation data, and the Gaussian process is a particularly common one. In this article, we propose a robust statistical model using a Student-t pro...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c5baf66175ec7c71973a39993a9bafd
https://doi.org/10.1080/00401706.2019.1630008
https://doi.org/10.1080/00401706.2019.1630008
Autor:
Hsueh-Fang Ai, Chien-Yu Peng
Publikováno v:
Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cffbfcea3beb95306e25e9500b00a575
https://doi.org/10.3850/978-981-18-2016-8_443-cd
https://doi.org/10.3850/978-981-18-2016-8_443-cd