Results 41 to 50 of about 46,182 (117)

Graph Huber: a robust regression model for graph data

Xibei Gongye Daxue Xuebao
As it is increasingly prevalent that data contains noise or obeys heavy-tailed distribution, a robust regression model becomes one of focal and hot topics in many study fields.
SU Meihong, WANG Jiaxing, LI Yan, ZHANG Hai   +3 more
doaj   +1 more source

Model Selection Test for the Heavy-Tailed Distributions under Censored Samples with Application in Financial Data

International Journal of Financial Studies, 2016
Numerous heavy-tailed distributions are used for modeling financial data and in problems related to the modeling of economics processes. These distributions have higher peaks and heavier tails than normal distributions.
Hanieh Panahi
doaj   +1 more source

A Robust TCPHD Filter for Multi-Sensor Multitarget Tracking Based on a Gaussian–Student’s t-Mixture Model

Remote Sensing
To realize multitarget trajectory tracking under non-Gaussian heavy-tailed noise, we propose a Gaussian–Student t-mixture distribution-based trajectory cardinality probability hypothesis density filter (GSTM-TCPHD).
Shaoming Wei, Yingbin Lin, Jun Wang, Yajun Zeng, Fangrui Qu, Xuan Zhou, Zhuotong Lu   +6 more
doaj   +1 more source

A new and generalized family of heavy-tailed-Topp-Leone-type II exponentiated half logistic-G distribution with applications

Scientific African
We develop a novel family of distributions named heavy-tailed Topp-Leone-type II exponentiated half logistic distribution. Several mathematical properties including linear representation, Rényi entropy, quantile function, probability weighted moments ...
Oarabile Lekhane, Gomolemo Jacqueline Lekono, Broderick Oluyede, Lesego Gabaitiri   +3 more
doaj   +1 more source

Enhancing Airport Resource Efficiency Through Statistical Modeling of Heavy-Tailed Service Durations: A Case Study on Potable Water Trucks

Aerospace
In airport operations management, accurately estimating the service durations of ground support equipment such as Potable Water Trucks (PWTs) is essential for improving resource allocation efficiency and ensuring timely aircraft turnaround.
Changcheng Li, Minghua Hu, Yuxin Hu, Zheng Zhao, Yanjun Wang   +4 more
doaj   +1 more source

Punctuated equilibrium or incrementalism in policymaking: What we can and cannot learn from the distribution of policy changes

Research & Politics, 2019
Theories in political science are most commonly tested through comparisons of means via difference tests or regression, but some theoretical frameworks offer implications regarding other distributional features.
Bruce A. Desmarais
doaj   +1 more source

Improved Probability-Weighted Moments and Two-Stage Order Statistics Methods of Generalized Extreme Value Distribution

Mathematics
This study evaluates six parameter estimation methods for the generalized extreme value (GEV) distribution: maximum likelihood estimation (MLE), two probability-weighted moments (PWM-UE and PWM-PP), and three robust two-stage order statistics estimators (
Autcha Araveeporn
doaj   +1 more source

Generalized integer least-squares success-rate bounds under heavy-tailed distributions

Satellite Navigation
Integer least-squares (ILS) ambiguity resolution has become a cornerstone of high-precision GNSS positioning due to the availability of a rigorous probabilistic theory under the Gaussian assumption.
Peter J. G. Teunissen
doaj   +1 more source

The Value at Risk Analysis using Heavy-Tailed Distribution on the Insurance Claims Data

JTAM (Jurnal Teori dan Aplikasi Matematika)
The insurance has often been involved to minimize financial losses. As the product providers, the insurance companies must effectively manage risks to prevent errors in risk measurement.
Utriweni Mukhaiyar, Aprilia Dianpermatasari, Azizah Dzakiya, Sasqia Bunga Widyani, Husnul Khatimah Syam   +4 more
doaj   +1 more source

A Robust Kalman Filter for Heavy-Tailed Measurement Noise Based on Gamma Pearson VII Mixture Distribution

IEEE Access
This study develops an enhanced state estimation framework by integrating the Kalman filtering mechanism with a Gamma Pearson VII (GaPV) hybrid probability model to address non-stationary heavy-tailed noise characteristics in measurement systems.
Shen Liang, Guoliang Xu, Zhenmei Qin
doaj   +1 more source