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On estimating extremal dependence structures by parametric spectral measures
ناشر: Elsevier Science
سال: 2014
A Comparison of Parametric and Semi-parametric Survival Models with Artificial Neural Networks
سال: 2018
خلاصه:
Survival models are used to examine data in the event of an occurrence. These are
discussed in various types including parametric, non-parametric and semi-parametric
models. Parametric models require a clear distribution of survival...
Author index
ناشر: IEEE
سال: 2014
Classication in Non-linear Survival Models Using Cox Regression and Decision Tree
سال: 2017
خلاصه:
Classification is the most important issues that have gained much attention in various
fields such as health and medicine. Especially in survival models, classification represents a
main objective and it is ...
Using Parametric Models to Represent Private Cloud Workloads
ناشر: IEEE
سال: 2014
Channel Estimation for OFDM
ناشر: IEEE
سال: 2014
[Front cover]
ناشر: IEEE
سال: 2014