Results 61 to 70 of about 4,474,743 (294)
Clinical Pharmacology &Therapeutics, EarlyView.Accurate assessment of systemic drug exposure in humans remains challenging, as conventional approaches rely on intermittent blood sampling and laboratory‐based assays that are invasive and provide limited temporal resolution. Exhaled breath contains volatile and semi‐volatile compounds arising from drug metabolism and downstream biological processes ...
Kai Fricke +12 more
wiley +1 more source
On the Shifted Hybrid Log-Normal Distribution
StatisticaThe log-normal distribution is widely used to model positive valued data in many areas of applied research. However, sometimes the log-normal distribution does not completely satisfy the fitting expectations in every real life situations.
Damodaran Santhamani Shibu +2 more
doaj +1 more source
Lognormal and Pareto distributions in the Internet [PDF]
Computer Communications, 2005 Numerous studies have reported long-tailed distributions for various network metrics, including file sizes, transfer times, and burst lengths. We review techniques for identifying long-tailed distributions based on a sample, propose a new technique, and apply these methods to datasets used in previous reports.
openaire +1 more source
Control Charts for the Lognormal Distribution [PDF]
Control Charts are the main tools of Statistical Process Control. They are used for deciding whether a process is statistically stable or not. Much theory and many applications have been developed for the Gaussian (Normal) distribution in this area ...
Panaretos, John +2 more
core
Parameters of lognormal contrast distribution.
, 2014 Parameters of the lognormal distributions of the r.m.s. contrasts of our database. μ is the expected value, σ2 the variance of the distribution; both parameters were obtained by a lognormal fit to the distribution. n is the number of elements.
Jens Peter Lindemann (111) +2 more
core +1 more source
Deep Underground Science and Engineering, EarlyView.Probabilistic natural gradient boosting and Gaussian process regression models accurately predict rate‐dependent rock strength across lithologies. Static strength and strain rate dominate, while geometric factors have minimal influence, enabling interpretable and uncertainty‐aware predictions for dynamic geomechanical applications. Abstract The dynamic
Hadi Fathipour‐Azar
wiley +1 more source
Bayes reliability measures of Lognormal and inverse Gaussian distributions under ML-II ε-contaminated class of prior distributions [PDF]
In this paper we employ ML-II ε-contaminated class of priors to study the sensitivity of Bayes Reliability measures for an Inverse Gaussian (IG) distribution and Lognormal (LN) distribution to misspecification in the prior.
Sinha, Pankaj, Jayaraman, Prabha
core
Deep Underground Science and Engineering, EarlyView.To address seepage‐induced tunnel face collapse, this study develops a two‐phase double‐point MPM framework to capture large‐deformation hydro‐mechanical interactions. Incorporating a cementation‐based constitutive model with dynamic permeability updates, the model is successfully validated against saturated granular‐column collapse experiments ...
Yue Tong +6 more
wiley +1 more source
Inference for double Pareto lognormal queues with applications [PDF]
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 M/
Michael P. Wiper +3 more
core
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.Spray‐flame synthesis enables highly flexible and scalable production of multinary and high‐entropy oxide nanoparticles due to high synthesis temperatures with subsequent quenching. Temperature‐dependent in situ diffraction of as‐synthesized materials clearly reveals entropy stabilization in rock salt lattices, while spinels—featuring tetrahedral and ...
Mohammed‐Ali Sheikh +7 more
wiley +1 more source