Results 81 to 90 of about 12,326,596 (323)

On a family of bivariate orthogonal functions

open access: yesAfrika Matematika, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Cost Pass‐Through in Crisis: Evidence From the German Malt‐Beer Supply Chain

open access: yesAgribusiness, EarlyView.
Abstract Global agri‐food supply chains are increasingly exposed to geopolitical shocks, climate volatility, and market consolidation, factors that disrupt traditional price relationships and reshape market power dynamics. Nowhere is this more visible than in the brewing sector, where agricultural raw materials meet complex industrial processing and ...
Nikolas Bublik, Lukáš Čechura
wiley   +1 more source

Bivariate discrete Linnik distribution

open access: yesStatistica, 2014
Christoph and Schreiber (1998a) studied the discrete analogue of positive Linnik distribution and obtained its characterizations using survival function.
Davis Antony Mundassery, K. Jayakumar
doaj   +1 more source

Diagnostic Accuracy of Size‐Based Preoperative CT Assessment for Predicting Lymph Node Metastasis in Colon Cancer: A Systematic Review and Meta‐Analysis

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Preoperative CT based on lymph node size shows moderate accuracy for detecting nodal metastasis in colon cancer. In this meta‐analysis of 29 studies (5,634 patients), pooled sensitivity and specificity were 0.69 and 0.66. Size‐based CT alone has limited value for clinical decision‐making.
Yuji Takayama   +4 more
wiley   +1 more source

Wildfire Probability Mapping: Bivariate vs. Multivariate Statistics

open access: yesRemote Sensing, 2019
Wildfires are one of the most common natural hazards worldwide. Here, we compared the capability of bivariate and multivariate models for the prediction of spatially explicit wildfire probability across a fire-prone landscape in the Zagros ecoregion ...
A. Jaafari, D. Gholami, B. Pham, D. Bui
semanticscholar   +1 more source

Sequential Monte Carlo with likelihood tempering and parallel implementation for uncertainty quantification

open access: yesAIChE Journal, EarlyView.
Abstract Bayesian estimation enables uncertainty quantification, but analytical implementation is often intractable. As an approximate approach, the Markov Chain Monte Carlo (MCMC) method is widely used, though it entails a high computational cost due to frequent evaluations of the likelihood function.
Tatsuki Maruchi   +2 more
wiley   +1 more source

Statistical Evaluation of Bivariate, Ternary and Discriminant Function Tectonomagmatic Discrimination Diagrams

open access: yesTurkish Journal of Earth Sciences, 2010
This work applies a statistical methodology involving the calculation of success rates to evaluate a total of 28 tectonomagmatic discrimination diagrams: four bivariate (Ti/Y-Zr/Y; Zr-Zr/Y; Ti/1000-V; and Nb/Y-Ti/Y); six ternary (Zr-3Y-Ti/1000; MgO-Al2O3-
S. Verma
semanticscholar   +2 more sources

C1 rational quadratic trigonometric spline

open access: yesEgyptian Informatics Journal, 2013
A Bézier like C1 rational quadratic trigonometric polynomial spline is developed. It defines two shape parameters in each subinterval. The approximation and geometric properties are investigated. The curvature continuity is established.
Maria Hussain, Sidra Saleem
doaj   +1 more source

Computational study of permeability in cardboard coating layers

open access: yesAIChE Journal, EarlyView.
Abstract We develop a virtual material structure model based on a combination of tessellations and Gaussian random fields for a coating layer of paperboard used for packaging and designed to facilitate printing on the surface. To fit the model to tomographic image data acquired using combined focused ion beam and scanning electron microscopy (FIB‐SEM),
Sandra Barman   +6 more
wiley   +1 more source

Farlie-Gumbel-Morgenstern bivariate log-normal: applications and comparison of semiparametric and parametric methods for estimating copulas

open access: yesKuwait Journal of Science
This study introduces the Farlie-Gumbel-Morgenstern bivariate log-normal (bivariate FGM-LN) distribution, which was created using the FGM copula to describe dependent skewed data.
Shakila Bashir   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy