Eruption Source Parameters in Volcanic Plume Modeling: Advances, Challenges, and Future Directions
Abstract Accurately predicting the atmospheric dispersion of volcanic ash and gases is crucial for both scientific understanding and hazard mitigation. Estimating Eruption Source Parameters (ESP), such as mass eruption rate, plume height, duration, and particle size distribution and properties, remains challenging due to the complex nature of volcanic ...
A. Costa +4 more
wiley +1 more source
Weighted Distributions: A Brief Review, Perspective and Characterizations [PDF]
The weighted distributions are widely used in many fields such as medicine, ecology and reliability, to name a few, for the development of proper statistical models.
Hamedani, Gholamhossein G. +3 more
core +1 more source
Bivariate Mixture of Inverse Weibull Distribution: Properties and Estimation
In this study, we construct a mixture of bivariate inverse Weibull distribution. We assumed that the parameters of two marginals have Bernoulli distributions. Several properties of the proposed model are obtained, such as probability marginal density function, probability marginal cumulative function, the product moment, the moment of the two variables
A. S. AL-Moisheer +3 more
openaire +1 more source
Accelerated Fatigue Testing of High‐Speed Steel
ABSTRACT The staircase method is commonly employed in the characterization of metals to determine their fatigue limit. In this approach, the stress amplitude is systematically varied around the assumed fatigue limit in consecutive tests. However, its applicability for in‐process optimization in alloy design and development is limited by the large ...
Leonhard Gertlowski +5 more
wiley +1 more source
Weighted Version of Generalized Inverse Weibull Distribution
Weighted distributions are used in many fields, such as medicine, ecology, and reliability. A weighted version of the generalized inverse Weibull distribution, known as weighted generalized inverse Weibull distribution (WGIWD), is proposed. Basic properties including mode, moments, moment generating function, skewness, kurtosis, and Shannon’s entropy ...
Sofi Mudasir, S. P. Ahmad
openaire +2 more sources
Health Prognostics in Multi‐Sensor Systems Based on Multivariate Functional Data Analysis
ABSTRACT Recent developments in big data analysis, machine learning, Industry 4.0, and IoT applications have enabled the monitoring and processing of multi‐sensor data collected from systems, allowing for the prediction of the “Remaining Useful Life” (RUL) of system components.
Cevahir Yildirim +2 more
wiley +1 more source
Modeling COVID-19 Outcomes Using a New Extended Inverse Burr Distribution
A new extension of the inverse Burr distribution, namely the extended odd-Weibull inverse Burr distribution (ExOW-IB), is proposed and defined. This new distribution is a member of the extended odd Weibull-G family.
Shahid Mohammad, Nirajan Budhathoki
doaj +1 more source
Characterizations of the transmuted inverse Weibull distribution
We characterise the transmuted inverse Weibull distribution and compare it to many other generalizations of the two-parameter inverse Weibull distribution using the likelihood ratio test. Explicit expressions are derived for the quantile, moment generating function, entropies, mean deviation and order statistics.
Muhammad Shuaib Khan +2 more
openaire +2 more sources
A Comparative Study of iDNA and airDNA for Biodiversity Assessments in Tropical Forest Fragments
Comparing invertebrate‐derived DNA and airborne eDNA across fragmented tropical forests, we show that iDNA recovers higher vertebrate richness from fewer samples, while airDNA offers greater field reliability. Together, both methods capture functional diversity gradients, supporting a combined approach for agroforestry biodiversity monitoring ...
Buffy Smith +7 more
wiley +1 more source
Improving Power of the Win Ratio Analysis through Distance‐based Weights
ABSTRACT The win ratio method, used to analyze composite endpoints in clinical trials, has gained substantial popularity in recent years because of its ability to prioritize components of the composite outcome. Despite gaining popularity and being extended to solve some of its issues, little work has been done to incorporate covariate information into ...
Md Rejuan Haque +4 more
wiley +1 more source

