Search Results - (( weibull distribution process algorithm ) OR ( parametric estimation bat algorithm ))
Search alternatives:
- parametric estimation »
- distribution process »
- process algorithm »
- estimation bat »
- bat algorithm »
-
1
Time based internet traffic policing and shaping with Weibull traffic model / Mohd Azrul Abdullah
Published 2015“…Analysis results present Weibull Distribution model is the best fitted model. …”
Get full text
Get full text
Article -
2
Time based internet traffic policing and shaping with Weibull traffic model / Mohd Azrul Abdullah
Published 2015“…Analysis results present Weibull Distribution model is the best fitted model. …”
Get full text
Get full text
Thesis -
3
Peak time bandwidth control algorithms with fitted traffic model on broadband network YouTube video traffic: article / Aini Azmi
Published 2016“…Bandwidth Control Algorithms is developed based on Peak Time of day and night. …”
Get full text
Get full text
Article -
4
Peak time bandwidth control algorithms with fitted traffic model on broadband network YouTube video traffic / Aini Azmi
Published 2016“…Bandwidth Control Algorithms is developed based on Peak Time of day and night. …”
Get full text
Get full text
Thesis -
5
Risk analysis of the copula dependent aggregate discounted claims with Weibull inter-arrival time
Published 2021“…We model the recursive moments of aggregate discounted claims, assuming the inter-claim arrival time follows a Weibull distribution to accommodate overdispersed and underdispersed data set. …”
Get full text
Get full text
Get full text
Article -
6
Parametric and Semiparametric Competing Risks Models for Statistical Process Control with Reliability Analysis
Published 2004“…From the simulation study for this particular case, we can conclude that Weibull distribution describes well the nature of the model concerned as compared to the exponential distribution in terms of the mean value of parameter estimates, bias, and the root means square error. …”
Get full text
Get full text
Thesis -
7
Statistical modeling of the electromechanical behaviour of BI-2223 composite wires
Published 2024text::Final Year Project -
8
Multiobjective optimization using particle swarm optimization with non-Gaussian random generators
Published 2016“…The two non-Gaussian distributions are the Weibull and Gamma distributions. …”
Get full text
Get full text
Article -
9
Multiobjective optimization using particle swarm optimization with non-Gaussian random generators
Published 2016“…The two non-Gaussian distributions are the Weibull and Gamma distributions. …”
Get full text
Get full text
Article -
10
Multiobjective optimization using particle swarm optimization with non-Gaussian random generators
Published 2016“…The two non-Gaussian distributions are the Weibull and Gamma distributions. …”
Get full text
Get full text
Article -
11
Multiobjective optimization using particle swarm optimization with non-Gaussian random generators
Published 2016“…The two non-Gaussian distributions are the Weibull and Gamma distributions. …”
Get full text
Get full text
Article -
12
Adaptive policing and shaping algorithms on inbound traffic using generalized Pareto distribution / Nor Azura Ayop
Published 2016“…Log likelihood estimation technique is used to fit the best 2-parameter CDF compared to Weibull, Normal and Rician distribution model. The percentage level 5% under original bandwidth used is developed on policing and shaping algorithms to control bandwidth used. …”
Get full text
Get full text
Thesis -
13
Some families of count distributions for modelling zero-inflation and dispersion / Low Yeh Ching
Published 2016“…Two new mixed Poisson distributions, namely a three-parameter Poisson-exponentiated Weibull distribution and a fourparameter generalized Sichel distribution is introduced to model over dispersed, zeroinflated and long-tailed count data. …”
Get full text
Get full text
Thesis -
14
Development of warranty management visualisation for automotive aftermarket with integration of AI
Published 2026“…Advanced analytics techniques including Weibull distribution modelling for failure prediction and Python based anomaly detection algorithms were implemented to identify high risk components and unusual claim behaviours. …”
Get full text
Get full text
Get full text
Article
