Results 71 to 80 of about 27,531 (299)
Multi‐Hazard Shaking‐Tsunami Fatality Risk Estimation for Coastal Communities
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
Log-moment estimators of the Nakagami-lognormal distribution
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]
Morales-Gregorio A +2 more
europepmc +1 more source
Weighted Sum of Correlated Lognormals: Convolution Integral Solution
Probability density function (pdf) for sum of n correlated lognormal variables is deducted as a special convolution integral. Pdf for weighted sums (where weights can be any real numbers) is also presented.
Nagy, Tamás
core
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
On Modelling Insurance Data by Using a Generalized Lognormal Distribution || Sobre la modelización de datos de seguros usando una distribución lognormal generalizada [PDF]
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]
Jumiawi WAH, El-Zaart A.
europepmc +1 more source
Size Distributions for All Cities: Lognormal and q-exponential functions [PDF]
This paper analyses in detail the features offered by a function which is practically new to Urban Economics, the q-exponential, in describing city size distributions. We highlight two contributions.
Rafael González-Val +2 more
core
2023 Acuerdos transformativos CRUEDealing with censored data is an important concern in reliability and survival analysis. Non-destructive one-shot devices are an extreme case of interval censoring, wherein we only know if a device has failed or not ...
Leandro Pardo +5 more
core +1 more source
Fitting household income by lognormal distribution.
Fitting household income by lognormal distribution.
Wei Nie (175261) +2 more
core +1 more source

