Guitarists today are spoiled for choice, and that goes doubly true for players who use computer-based amp modeling software. I’m one such player, and I don’t miss the size, weight, deafening volume, ...
Abstract: Effective noise suppression and data quality enhancement are critical in seismic data processing. Over the years, many traditional and deep learning (DL) methods have been proposed and ...
Random Coefficient Modelling of the Global Effect of Exchange and Monetary Policy Rates on Inflation
This research evaluates the effect of monetary policy rate and exchange rate on inflation across continents using both Frequentist and Bayesian Generalized Additive Mixed Models (GAMMs). Extending an ...
Objectives The use of natural environments and nature activities as elements in the treatment and rehabilitation of mental health challenges is gaining international attention. The objective of the ...
Background: In a recent study of Norwegian children (N = 874), Halse et al. used random-intercept cross-lagged panel models (RI-CLPM) and concluded that their findings supported the assumption that ...
A simulation study is designed to explore the accuracy of attribute parameter estimation in the crossed random effects linear logistic test model (CRELLTM) with the impact of Q-matrix misspecification ...
Following pooled regression (OLS), we performed the following diagnostic tests to determine if estimation results were biased. In this study, four tests were used: Heteroscedasticity, Wald test, ...
Abstract: Field data provide important information about product quality and reliability. Many large organizations have developed ambitious reliability databases to trace field failure data of a ...
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