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heavy-tailed Pareto distribution

Statistical modelling of the EUR/DZD returns with infinite variance distribution

Statistical modelling of the EUR/DZD returns with infinite variance distribution

... -stable distribution is better fitted to the returns than the Gaussian ...these heavy tailed distribution we evaluate the extreme risk considering two most often risk measures: the Value at ...

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Advances in the Modeling of Heavy-tailed Distributions

Advances in the Modeling of Heavy-tailed Distributions

... encounter heavy-tailed distributions in actuarial or econometric applica- ...the Pareto, Student-t and Cauchy, one can utilize a certain moment-based technique whereby the tilted density func- tions ...

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The generalized double Lomax distribution with applications

The generalized double Lomax distribution with applications

... new heavy tailed distribution which is a generalization of the double Lomax distribution introduced by Bindu (2011) who applied it on IQ data, the proposed distribution was ...

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Bayesian inference for double Pareto lognormal queues

Bayesian inference for double Pareto lognormal queues

... Secondly, we have combined this approach with techniques from the queue- ing literature in order to estimate predictive equilibrium distributions for the dP lN/M/1 and M/dP lN/1. To do this, we have adapted the Transform ...

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In IEEE/ACM Transactions on Networking Vol 5, Number 6, pages , December 1997

In IEEE/ACM Transactions on Networking Vol 5, Number 6, pages , December 1997

... The heavy-tailed distribution of le sizes we have observed seems similar in spirit to Pareto distributions noted in the social sciences, such as the distribution of lengths of books on ...

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Evaluating Risk Measures and Capital Allocations Based on Multi-Losses Driven by a Heavy-Tailed Background Risk: The Multivariate Pareto-II Model

Evaluating Risk Measures and Capital Allocations Based on Multi-Losses Driven by a Heavy-Tailed Background Risk: The Multivariate Pareto-II Model

... multivariate Pareto distribution of the second kind, we refer to Arnold [28] and Yeh [33,34], where we also find statistical inferential results concerning the parameters µ, σ, and ...

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LINKED OPEN GOVERNMENT DATA AS BACKGROUND KNOWLEDGE IN PREDICTING FOREST FIRE

LINKED OPEN GOVERNMENT DATA AS BACKGROUND KNOWLEDGE IN PREDICTING FOREST FIRE

... the heavy tailed distribution of the packet inter-arrival time, which is a result of the heavy tailed distribution of packet size of the traffic ...of heavy-tailed ...

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Evaluation of a compound distribution based on weather pattern subsampling for extreme rainfall in Norway

Evaluation of a compound distribution based on weather pattern subsampling for extreme rainfall in Norway

... MEWP distribution with more general heavy- tailed distributions, in this case the Multi Generalized Pareto Weather Pattern (MGPWP) ...MEWP distribution is found to have an overall ...

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EXTREMES OF A BIVARIATE PARETO DISTRIBUTION

EXTREMES OF A BIVARIATE PARETO DISTRIBUTION

... Bivariate Pareto distributions are popular mod- els in many applied ...dependent heavy tailed risks with a non-zero probability of simultaneous loss (Asimit et ...

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A New Method for Generalizing Burr and Related Distributions

A New Method for Generalizing Burr and Related Distributions

... Burr-XII distribution, also called Burr distribution, by adding an extra parameter to an exist- ing Burr distribution for more ...Burr distribution is modeled using a nonlinear function of the ...

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A Family of Loss Distributions with an Application to the Vehicle Insurance Loss Data

A Family of Loss Distributions with an Application to the Vehicle Insurance Loss Data

... a heavy tail is a prominent research ...their distribution is often unimodal shaped, for example see Cooray and Ananda (2005), right-skewed, for detail see Lane (2000), Vernic (2006), Bolance et ...with ...

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On a multivariate Pareto distribution

On a multivariate Pareto distribution

... multivariate distribution possessing arbitrarily parameterized Pareto margins has been formulated and ...The distribution is unimodal and positively skewed, and it conveniently allows for modeling ...

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Heavy Tailed Distributions of Effect Sizes in Systematic Reviews of Complex Interventions

Heavy Tailed Distributions of Effect Sizes in Systematic Reviews of Complex Interventions

... distributions, heavy tailed distributions which are commonly reported in the literature, using maximum likelihood ...a heavy tailed distribution which fitted best to the inverse power ...

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Batch Sampling: Low Overhead Scheduling for Sub-Second Parallel Jobs

Batch Sampling: Low Overhead Scheduling for Sub-Second Parallel Jobs

... increasingly heavy tails: con- stant, exponentially-distributed, and pareto-distributed task ...the distribution gets more heavy tailed; for pareto-distributed task durations at ...

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New Characterizations of the Pareto Distribution

New Characterizations of the Pareto Distribution

... as Pareto and power function distributions through conditional expectation of functions of order ...function distribution using order statistics and order statistics ...

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Asymptotic Finite-Time Ruin Probabilities for a Class of Path-Dependent Heavy-Tailed Claim Amounts Using Poisson Spacings

Asymptotic Finite-Time Ruin Probabilities for a Class of Path-Dependent Heavy-Tailed Claim Amounts Using Poisson Spacings

... The present paper discusses several scenarios of dependence between claim amounts and interclaim arrivals. Such scenarios are motivated by earthquake or flooding-type risks. Our purpose is to provide approximations to ...

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The New Weibull-Pareto Distribution

The New Weibull-Pareto Distribution

... statistical distribution. Knowledge of the appropriate distribution that any phenomenon follows, greatly improves the sensitivity, power and efficiency of the statistical tests associated with ...

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On a relationship between randomly and non-randomly thresholded empirical average excesses for heavy tails

On a relationship between randomly and non-randomly thresholded empirical average excesses for heavy tails

... a heavy-tailed distribution and one of its pseudo-estimator versions featur- ing a non-random threshold, we show a novel asymptotic representation of a class of empirical average excesses above a ...

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Models for Heavy tailed Asset Returns

Models for Heavy tailed Asset Returns

... Despite the interesting statistical properties, the TSDs (TLDs) have not been applied extensively to date. The most probable reason for this being the com- plicated definition of the TSD. Like for stable distributions, ...

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Generalizations of the Skew t-Normal Distribution and their Properties

Generalizations of the Skew t-Normal Distribution and their Properties

... In order to present an application of GStN distributions, we carry out the estimation and model fitting to a real data set by maximizing the likelihood functions corresponding to the skewed distributions considered in ...

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