Q Shan, Y Hong, WQ Meeker - The Annals of Applied Statistics, 2020 - JSTOR
Warranty return data from repairable systems, such as home appliances, lawn mowers, computers and automobiles, result in recurrent event data. The nonhomogeneous Poisson …
D Munandar, S Supian… - International Journal of …, 2020 - journal.rescollacomm.com
The influence of social media in disseminating information, especially during the COVID-19 pandemic, can be observed with time interval, so that the probability of number of tweets …
Extreme rainfall events have made significant damages to properties, public infrastructure and agriculture in some provinces of South Africa notably in KwaZulu-Natal and Gauteng …
I Mugume, C Basalirwa, D Waiswa… - International Journal of …, 2018 - academia.edu
The Numerical weather prediction (NWP) models are considered powerful tools for guiding quantitative rainfall prediction. A couple of NWP models exist and are used at many …
In the present study, the imitation of heavy rainfall event which occurred over Jharkhand during 18 August 2016 was taken as a case study. Weather Research and Forecasting …
Accurate and timely rainfall prediction enhances productivity and can aid proper planning in sectors such as agriculture, health, transport and water resources. However quantitative …
R Bhadra, M Pandey - ASCE-ASME Journal of Risk and Uncertainty …, 2024 - ascelibrary.org
Projections using global climate models indicate that climate change will influence the patterns of natural hazards, such as thunderstorms, atmospheric river landfalls, extreme …
R Bhadra - Stochastic Environmental Research and Risk …, 2024 - Springer
The frequency and the magnitude of the environmental hazards are going to be impacted by the changing climate. The non-stationary hazards can be effectively modelled using a Non …
The development of electric vehicles (EV) is a major lever towards low-carbon transport. It comes with a growing number of charging infrastructures that can be used as flexible assets …