Results 21 to 30 of about 43,865 (216)

Probability distributions of daily rainfall extremes in Lazio and Sicily, Italy, and design rainfall inferences

Journal of Hydrology: Regional Studies, 2021
Study region: We investigate samples from two Italian regions, i.e. Lazio and Sicily, located in central and south Italy, respectively, and characterized by two diverse climates.
Benedetta Moccia, Claudio Mineo, Elena Ridolfi, Fabio Russo, Francesco Napolitano   +4 more
doaj   +1 more source

The Random Effect Transformation for Three Regularity Classes

Mathematics
We continue the analysis of the influence of the random effect transformation on the regularity of distribution functions. The paper considers three regularity classes: heavy-tailed distributions, distributions with consistently varying tails, and ...
Jonas Šiaulys, Sylwia Lewkiewicz, Remigijus Leipus   +2 more
doaj   +1 more source

Assessment of temporal change in the tails of probability distribution of daily precipitation over India due to climatic shift in the 1970s

Journal of Water and Climate Change, 2021
Daily precipitation extremes are crucial in the hydrological design of major water control structures and are expected to show a changing tendency over time due to climate change.
Neha Gupta, Sagar Rohidas Chavan
doaj   +1 more source

Truncated Moments for Heavy-Tailed and Related Distribution Classes

Mathematics, 2023
Suppose that ξ+ is the positive part of a random variable defined on the probability space (Ω,F,P) with the distribution function Fξ. When the moment Eξ+p of order p>0 is finite, then the truncated moment F¯ξ,p(x)=min1,Eξp1I{ξ>x}, defined for all x⩾0, is
Saulius Paukštys, Jonas Šiaulys, Remigijus Leipus   +2 more
doaj   +1 more source

Evaluating South Africa’s market risk using asymmetric power auto-regressive conditional heteroscedastic model under heavy-tailed distributions

Journal of Economic and Financial Sciences, 2019
Orientation: Value-at-risk (VAR) and other risk management tools, such as expected shortfall (conditional VAR), are heavily reliant on a suitable set of underlying distributional conjecture.
Retius Chifurira, Knowledge Chinhamu
doaj   +1 more source

A Heavy-Tailed QLindley Distribution for Modelling Skewed Lifetime Data

Mathematics
Lifetime 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, Partha Jyoti Hazarika, Jondeep Das, Ibrahim Sadok, Diego I. Gallardo, Héctor J. Gómez   +5 more
doaj   +1 more source

Student’s t-Based Robust Poisson Multi-Bernoulli Mixture Filter under Heavy-Tailed Process and Measurement Noises

Remote Sensing, 2023
A novel Student’s t-based robust Poisson multi-Bernoulli mixture (PMBM) filter is proposed to effectively perform multi-target tracking under heavy-tailed process and measurement noises.
Jiangbo Zhu, Weixin Xie, Zongxiang Liu
doaj   +1 more source

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

Molecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska, Stephany Gallardo, Nur S. Zainal, Leena Arora, Matthew Ellis, Maria‐Antoinette Lopez, Judith Austine, Sai Pittla, Serena J Chee, Aiman Alzetani, Emily C Shaw, Christian H Ottensmeier, Gareth J Thomas, Christopher J Hanley   +13 more
wiley   +1 more source

A Student’s t Mixture Probability Hypothesis Density Filter for Multi-Target Tracking with Outliers

Sensors, 2018
In multi-target tracking, the outliers-corrupted process and measurement noises can reduce the performance of the probability hypothesis density (PHD) filter severely.
Zhuowei Liu, Shuxin Chen, Hao Wu, Renke He, Lin Hao   +4 more
doaj   +1 more source

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

Molecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka, Wioleta Cieślik, Wojciech Płaziński, Katarzyna Stępnik, Anna Boguszewska‐Czubara, Elżbieta Kot, Robert Musioł, Mateusz Jasica, Anna Mrozek‐Wilczkiewicz, Katarzyna Malarz   +9 more
wiley   +1 more source