Results 91 to 100 of about 9,896 (259)
On Order Restricted Inference in Multi‐Step Stage Life Testing for a General Family of Distributions
ABSTRACT Recently, k$$ k $$‐step stage life testing (SLT) has been proposed by Laumen and Cramer (2021) as a natural extension of progressive censoring with fixed censoring times (PC‐FCT) as well as of simple step‐stress accelerated life testing (SSALT).
Erhard Cramer +2 more
wiley +1 more source
Abstract Different aspects of ecological systems, biotic or abiotic, often fluctuate in coordinated patterns over space and time. Such high concordance between ecological processes is often referred to as ecological synchrony. Human activities, including and beyond climate change, have the potential to alter ecological synchrony by disrupting or ...
Yiluan Song +9 more
wiley +1 more source
The battery thermal management of electric vehicles can be improved using neural networks predicting quantile sequences of the battery temperature. This work extends a method for the development of Quantile Convolutional and Quantile Recurrent Neural ...
Andreas M. Billert +4 more
doaj +1 more source
Bayesian composite $$L^p$$-quantile regression
Abstract $$L^p$$ L p -quantiles are a class of generalized quantiles defined as minimizers of an asymmetric power function. They include both quantiles,
openaire +2 more sources
ABSTRACT We propose a practical procedure to quantify the time varying influence of parameters on hazard functions for power series compounded lifetime models. The procedure combines likelihood based fitting with a two stage sensitivity analysis and applies to a range of baselines and compounding laws.
Yuancheng Si, Saralees Nadarajah
wiley +1 more source
A Bayesian modeling framework with a random-bridge prior is proposed for quantile regression of high-dimensional count data, addressing challenges in variable sparsity identification and model adaptability.
Youxi Luo +3 more
doaj +1 more source
ABSTRACT Amid the quest for sustainable agriculture, this study explores key ecological and technological factors influencing crop production under climate change. We conduct a comprehensive assessment of temperature, biomass, farmer education, renewable energy devices, greenhouse gas emissions and their effects on rice yields in Granma, Cuba, from ...
Afzal Ahmed Dar +6 more
wiley +1 more source
Identify Relative importance of covariates in Bayesian lasso quantile regression via new algorithm in statistical program R [PDF]
In this paper, we propose a new algorithm to determine the relative importance of covariates by Bayesian Lasso quantile regression for variable selection assigning new formula of Laplace distributions for the regression parameters.
Fadel Hamid Hadi Alhusseini +2 more
doaj
ABSTRACT This study examines the interplay between climate change, violent conflict and forced migration in the Middle East and North Africa (MENA), focusing on asylum flows to the European Union (EU). By integrating high‐resolution climate, conflict and socioeconomic data spanning 2000 to 2023, we develop a comprehensive empirical framework to ...
Shifa Mathbout +4 more
wiley +1 more source
ABSTRACT Currently, the United States (U.S.) has issues with declining industrial values and supply chain digitalization, which threaten the country's industrialization and Industry 4.0 transformation. The country needs to reverse this trend through effective policy implementation. However, the literature's understanding of effective policies' long‐run
Mohammad Fakhrul Islam +4 more
wiley +1 more source

