Results 71 to 80 of about 6,825,486 (291)
Multi‐Hazard Shaking‐Tsunami Fatality Risk Estimation for Coastal Communities
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT This study develops a multi‐hazard fatality risk model for a coastal community (Tofino) on Vancouver Island, Canada, subjected to earthquake‐tsunami threats from the Cascadia subduction megathrust events. The model incorporates variable population distributions and uncertain fatality rate models, in addition to other key model components, such
Katsuichiro Goda
wiley +1 more source
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT Disasters exacerbated by climate change have prompted adaptation measures, including seawall heightening, which is an effective approach to protecting coastal areas. However, the combined effect of rising sea levels and tsunamis can create a compound coastal hazard, in which long‐term sea level rise amplifies the impact of tsunamis.
Yushi Miki +7 more
wiley +1 more source
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT Earthquake‐induced damage of structures can trigger cascading hazards, linking structural performance to nonstructural consequences. In current engineering practice, these two aspects are typically addressed separately, limiting the ability to account for such coupled effects in design.
Matjaž Dolšek +2 more
wiley +1 more source
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT Conventional single intensity measure (IM) fragility approaches with simplified component dependency assumptions overlook the progressive damage accumulation and evolving inter‐component correlations that govern system behavior under mainshock‐aftershock (MSAS) loading.
Muhammad Rashid, Mayuko Nishio
wiley +1 more source
Log-moment estimators of the Nakagami-lognormal distribution
EURASIP Journal on Wireless Communications and Networking, 2019 In this paper, estimators of the Nakagami-lognormal (NL) distribution based on the method of log-moments have been derived and thoroughly analyzed. Unlike maximum likelihood (ML) estimators, the log-moment estimators of the NL distribution are obtained ...
Juan Reig +3 more
doaj +1 more source
Ubiquitous lognormal distribution of neuron densities in mammalian cerebral cortex. [PDF]
Cereb Cortex, 2023 Morales-Gregorio A +2 more
europepmc +1 more source
Journal of Forecasting, EarlyView.ABSTRACT This paper adopts a bivariate Markov‐switching multifractal (BMSM) model to reexamine comovement in SV between commodity, foreign exchange (FX), and stock markets. After the 2007–2008 global financial crisis understanding volatility linkages and the correlation structure between these markets becomes very important for risk analysts, portfolio
Ruipeng Liu +3 more
wiley +1 more source
On Modelling Insurance Data by Using a Generalized Lognormal Distribution || Sobre la modelización de datos de seguros usando una distribución lognormal generalizada [PDF]
Revista de Métodos Cuantitativos para la Economía y la Empresa, 2014 In this paper, a new heavy-tailed distribution is used to model data with a strong right tail, as often occurs in practical situations. The distribution proposed is derived from the lognormal distribution, by using the Marshall and Olkin procedure.
García, Victoriano J. +2 more
doaj
Improvement in the Between-Class Variance Based on Lognormal Distribution for Accurate Image Segmentation. [PDF]
Entropy (Basel), 2022 Jumiawi WAH, El-Zaart A.
europepmc +1 more source
Threshold Asymmetric Conditional Autoregressive Range (TACARR) Model
Journal of Forecasting, EarlyView.ABSTRACT This paper introduces a Threshold Asymmetric Conditional Autoregressive Range (TACARR) model for analyzing the daily price ranges of financial assets. The proposed formulation assumes that the conditional expected range switches between two regimes, representing upward and downward market states, with the disturbance distribution also allowed ...
Isuru Ratnayake, V. A. Samaranayake
wiley +1 more source