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"heavy-tailed distribution" » "heavy-detailed distribution" (Expand Search), "heavy-tailored distribution" (Expand Search)
"heavy-tailed distribution" » "heavy-detailed distribution" (Expand Search), "heavy-tailored distribution" (Expand Search)
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1
On the Extension of the Burr XII Distribution: Applications and Regression
Published 2023-04-01Subjects: Get full text
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2
Heavy Tailed Distribution of Binary Classification Model
Published 2023-09-01Subjects: Get full text
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3
Properties and applications of the Tan Weibull loss distribution
Published 2025-01-01Subjects: “…heavy-tailed distribution…”
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4
Inverse unit compound Rayleigh distribution: statistical properties with applications in different fields
Published 2025-08-01Subjects: Get full text
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5
Maximum lq-likelihood estimator of the heavy-tailed distribution parameter
Published 2024-01-01Subjects: Get full text
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6
Extreme signal amplitude events in neuromagnetic oscillations reveal brain aging processing across adulthood
Published 2025-03-01Subjects: Get full text
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7
Nonstationary Stochastic Bandits: UCB Policies and Minimax Regret
Published 2024-01-01Subjects: “…Heavy-tailed distributions…”
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8
Enhancing Airport Resource Efficiency Through Statistical Modeling of Heavy-Tailed Service Durations: A Case Study on Potable Water Trucks
Published 2025-07-01Subjects: Get full text
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9
STOCK MARKET FLUCTUATIONS SIMULATION WITHIN LOWLY VOLATILE AND HIGHLY VOLATILE PERIODS
Published 2013-12-01Subjects: Get full text
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10
Self-Weighted Quantile Estimation for Drift Coefficients of Ornstein–Uhlenbeck Processes with Jumps and Its Application to Statistical Arbitrage
Published 2025-04-01Subjects: Get full text
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11
Characterization of Spatially Heterogeneous Environmental Variables Through Multi‐Modal Generalized Sub‐Gaussian Distributions
Published 2025-03-01Subjects: Get full text
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12
Queuing system GI/M/1/N with randomly dropping packets mechanism
Published 2006-01-01Subjects: “…computer network;GI/M/1/N queuing system;thinning of recurrent flows;queue management mechanism;QoS;heavy tailed distributions;self-similar traffic…”
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