Abstract: In this paper, signal-to-noise ratio (SNR) degradation from random clock jitter in a current-steering digital-to-analog converter (CS-DAC) is analyzed based ...

It estimates direct, indirect, and total effects among system variables ... measurement errors It is rapidly fitted as a Gaussian Markov random field (GMRF) in a Generalized Linear Mixed Model (GLMM), ...

Volumetric equations is one of the main tools for quantifying forest ... 2.8035%. One advantage of random-effects models over fixed-effects models is a reduced residual standard errors. Calegario et ...

Through the structural equation model (SEM), the weight of each factor between effects was analyzed and the derived factors ... This study used a combination of non-probability and simple random ...

Quick note, the published paper has a small typo in the update equation for sigma^2 which is corrected ... algorithm requires many calls to the non-linear fixed effects model, e.g. random forest. That ...

The residual equations from multiple-snapshot state estimation are used to formulate the LME model in which the parameter errors are considered as the fixed effects and the measurement errors are ...

In those analyses, researchers will face any number of analytical decisions, including whether to use fixed or random effects models to control for variables that don’t change over time. Let’s ...