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1 Ergebnisse
1
Novel Methods to Construct Empirical CDF for Continuous Ran..:
, In:
2020 IEEE 10th International Conference on Intelligent Systems (IS)
,
Nikolova, Natalia
;
Toneva, Daniela
;
Tsonev, Yulian
.. - p. 61-68 , 2020
Link:
https://doi.org/10.1109/IS48319.2020.9199954
RT T1
2020 IEEE 10th International Conference on Intelligent Systems (IS)
: T1
Novel Methods to Construct Empirical CDF for Continuous Random Variables using Censor Data
UL https://suche.suub.uni-bremen.de/peid=ieee-9199954&Exemplar=1&LAN=DE A1 Nikolova, Natalia A1 Toneva, Daniela A1 Tsonev, Yulian A1 Burgess, Blake A1 Tenekedjiev, Kiril YR 2020 K1 Random variables K1 Maintenance engineering K1 Australia K1 Interpolation K1 Reliability K1 Matlab K1 Estimation K1 reliability K1 Kaplan-Meier estimator K1 symmetrical requirement K1 universal CDF estimator K1 invertible CDF estimator with maximum count of nodes SP 61 OP 68 LK http://dx.doi.org/https://doi.org/10.1109/IS48319.2020.9199954 DO https://doi.org/10.1109/IS48319.2020.9199954 SF ELIB - SuUB Bremen
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