A Study on Nonparametric Inference Approaches for Stochastic Point Processes and Their Reliability Applications

アクセス数 : 659
ダウンロード数 : 291

今月のアクセス数 : 0
今月のダウンロード数 : 0
File
k7014_3.pdf 2.82 MB 種類 : fulltext
File
k7014_1.pdf 88.2 KB 種類 : abstract
File
k7014_2.pdf 152 KB 種類 : abstract
Title ( eng )
A Study on Nonparametric Inference Approaches for Stochastic Point Processes and Their Reliability Applications
Title ( jpn )
確率点過程のノンパラメトリック統計的推論とその信頼性問題への応用に関する研究
Creator
Saito Yasuhiro
NDC
Electrical engineering [ 540 ]
Language
eng
Resource Type doctoral thesis
Publish Type Not Applicable (or Unknown)
Access Rights open access
Source Identifier
・Y. Saito, T. Dohi and W. Y. Yun; Uncertainty analysis for a periodic replacement problem with minimal repair: parametric bootstrapping; International Journal of Industrial Engineering, 21(6), 337-347 (2014). references
・Y. Saito, T. Dohi and W. Y. Yun; Kernel-based nonparametric estimation methods for a periodic replacement problem with minimal repair; Journal of Risk and Reliability, 230(1), 54-66 (2016). (doi: 10.1177/1748006X15601940) references
・Y. Saito and T. Dohi; Software reliability assessment via non-parametric maximum likelihood estimation; IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (A), E98-A(10), 2042-2050 (2015). (doi: 10.1587/transfun.E98.A.2042) references
・Y. Saito, T. Moroga and T. Dohi; Optimal Software Release Decision Based on Nonparametric Inference Approach; Journal of Japan Industrial Management Association, 66(4E), 396-405 (2016). (doi: 10.11221/jima.66.396) references
・Y. Saito, T. Dohi and W. Y. Yun; Applying parametric bootstrap methods for a block replacement problem with minimal repair; Proceedings of the 17th International Conference on Industrial Engineering Theory, Applications and Practice (IJIE 2013), pp. 136-142, Busan, Korea, Oct 2013. references
・Y. Saito, T. Dohi and W. Y. Yun; A kernel-based estimation for a periodic replacement problem with minimal repair; Proceedings of the 6th Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM 2014) pp. 405-412, Hokkaido, Japan, Aug 2014. references
・Y. Saito and T. Dohi; Nonparametric maximum likelihood estimation of NHPP-based software reliability model; Proceedings of the 6th Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM 2014) pp. 413-420, Hokkaido, Japan, Aug 2014. references
・Y. Saito and T. Dohi; Nonparametric maximum likelihood estimator with software fault count data; Proceedings of the 9th International Conference on Mathematical Methods in Reliability, -Theory, Methods and Applications- (MMR-2015) pp. 49-55, Tokyo, Japan, Jun 2015. references
・Y. Saito and T. Dohi; Robustness of non-homogeneous gamma process-based software reliability models; Proceedings of the 2015 IEEE International Conference on Software Quality, Reliability and Security (QRS 2015) pp.75-84, Vancouver, Canada, Aug 2015. (doi: 10.1109/QRS.2015.21) references
・Y. Saito and T. Dohi; Stochastic marksmanship contest games with random termination-survey and applications; Journal of the Operations Research Society of Japan, 58(3), 223-246 (2015). (doi: 10.15807/jorsj.58.223) references
・Y. Saito and T. Dohi; Nash equilibrium strategy for a software release game; Proceedings of the 2nd International Conference on Computer and Management (CAMAN-2012) pp. 3822-3825, Wuhan, China, Mar 2012. references
[DOI] http://doi.org/10.1177/1748006X15601940 references
[DOI] http://doi.org/10.1587/transfun.E98.A.2042 references
[DOI] http://doi.org/10.11221/jima.66.396 references
[DOI] http://doi.org/10.1109/QRS.2015.21 references
[DOI] http://doi.org/10.15807/jorsj.58.223 references
Dissertation Number 甲第7014号
Degree Name
Date of Granted 2016-03-23
Degree Grantors
広島大学