Results 111 to 120 of about 6,927,638 (333)
Baseline Methods for the Parameter Estimation of the Generalized Pareto Distribution. [PDF]
Entropy (Basel), 2022 Martín J +3 more
europepmc +1 more source
Time truncated group chain sampling strategy for pareto distribution of the 2nd kind
, 2015 The main goal of this study is to propose a chain Group Acceptance Sampling Plan (GASP) when the life time of a product follows the Pareto distribution of the 2nd kind.
Abdur Razzaque Mughal +2 more
semanticscholar +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
Advanced Intelligent Discovery, EarlyView.This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Progressive censoring schemes for marshall-olkin pareto distribution with applications: Estimation and prediction. [PDF]
PLoS One, 2022 Alshenawy R, Haj Ahmad H, Al-Alwan A.
europepmc +1 more source
Inference for double Pareto lognormal queues with applications [PDF]
, 2008 In this article we describe a method for carrying out Bayesian inference for the double Pareto lognormal (dPlN) distribution which has recently been proposed as a model for heavy-tailed phenomena. We apply our approach to inference for the dPlN/M/1 and
Lillo Rodríguez, Rosa Elvira +3 more
core
Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
A Flexible Extension of Pareto Distribution: Properties and Applications. [PDF]
Comput Intell Neurosci, 2021 Alshanbari HM +4 more
europepmc +1 more source
Some Composite ExponentialPareto Models for Actuarial Prediction [PDF]
Prediction is a very important and not so easy task for an actuary. An insurance company needs predictions of the future claims in order to evaluate premiums, to assess its financial situation, probabilities of ruin, etc.
Teodorescu, Sandra, Vernic, Raluca
core
The New Weibull-Pareto Distribution
, 2015 A new distribution, the New Weibull-Pareto, is defined and studied. Various properties of the distributions are obtained and the method of maximum likelihood used to estimate the parameters of the distribution. The usefulness of the distribution has also
Suleman Nasiru, A. Luguterah
semanticscholar +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source