Results 31 to 40 of about 19,957,777 (200)
Modeling Heavy-Tailed Bounded Data by the Trapezoidal Beta Distribution with Applications
Revstat Statistical Journal, 2022 In this paper, by using a new method, we derive the trapezoidal beta (TB) distribution and its properties. The TB distribution is a mixture model, generalizes both the beta and rectangular beta distributions, and allows one to describe bounded data with
Jorge Figueroa-Zúñiga +3 more
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Heavy-Tailed Density Estimation
, 2022 A novel statistical method is proposed and investigated for estimating a heavy tailed density under mild smoothness assumptions. Statistical analyses of heavy-tailed distributions are susceptible to the problem of sparse information in the tail of the ...
Surya T. Tokdar (3922505) +2 more
core +1 more source
Fitting Heavy Tailed Distributions: The poweRlaw Package
Journal of Statistical Software, 2015 Over the last few years, the power law distribution has been used as the data generating mechanism in many disparate fields. However, at times the techniques used to fit the power law distribution have been inappropriate.
Colin S. Gillespie
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Environmental Factors May Drive the Post-release Movements of Surrogate-Reared Sea Otters
Frontiers in Marine Science, 2020 Southern sea otters (Enhydra lutris nereis) are currently >80% depleted with respect to both abundance and range occupancy baselines, challenging the long-term persistence of the species and the ecosystem benefits their populations might provide. From
Sarah L. Becker +5 more
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A Heavy-Tailed QLindley Distribution for Modelling Skewed Lifetime Data
MathematicsLifetime data arising in engineering reliability, survival analysis, actuarial science, and environmental studies often exhibit substantial right-skewness, extreme observations, and heterogeneous hazard-rate structures.
Sajadul Hussain +5 more
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Scheduling for Heavy-Tailed and Light-Tailed Workloads in Queueing Systems [PDF]
, 2012 In much of classical queueing theory, workloads are assumed to be light-tailed, with job sizes being described using exponential or phase type distributions. However, over the past two decades, studies have shown that several real-world workloads exhibit
Nair, Jayakrishnan U.
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Minimum of heavy-tailed random variables is not heavy tailed / [PDF]
, 2023 By constructing an appropriate example, we show that the class of heavy-tailed distributions is not closed under minimum. We provide two independent heavy-tailed random variables, such that their minimum is not heavy tailed.
Konstantinides, Dimitrios, +2 more
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Entropy, 2021 In the paper, we begin with introducing a novel scale mixture of normal distribution such that its leptokurticity and fat-tailedness are only local, with this “locality” being separately controlled by two censoring parameters.
Łukasz Lenart +2 more
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Differentially Private Synthetic Heavy-tailed Data
, 2023 The U.S. Census Longitudinal Business Database (LBD) product contains employment and payroll information of all U.S. establishments and firms dating back to 1976 and is an invaluable resource for economic research. However, the sensitive information in LBD requires confidentiality measures that the U.S. Census in part addressed by releasing a synthetic
Tran, Tran +2 more
openaire +2 more sources
Algorithms, 2012 We present evidence that one can calculate generically combinatorially expensive Lp and lp averages, 0 < p < 1, in polynomial time by restricting the data to come from a wide class of statistical distributions.
John E. Lavery
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