We estimate an empirical model of consumption disasters using a new panel data set on personal consumer expenditure for 24 countries and more than 100 years, and study its implications for asset ...

One of the most famous performance models used in HPC is the Roofline model. During courses I was asked often how to derive empirical Roofline models with LIKWID. An empirical Roofline model presents ...

The depth estimation model is trained on 500,000 synthetic images generated from 600 high-resolution photogrammetry human scans, ensuring high accuracy for monocular depth estimation. Empirical ...

In this paper, the limitations of the NRTL model to correlate LLE data sets for island-type ternary systems are discussed. The lack of flexibility and the uncertainty in the equilibrium solution are ...

Abstract: This paper proposes an empirical model to estimate the capacity of lithium-ion (Li-ion) battery cells given a set of measurements. These measurements comprise the surface temperature and ...

Empirical models can be used to represent the recrystallization process in frozen food as ... growth during recrystallization in frozen Tilapia samples and had the advantage of being simple and robust ...

The capital asset pricing model is the basis for most empirical probability studies ... For instance, the CAPM is often used to estimate a company's weighted average cost of capital.

For the regression model about longitudinal data, we combine the robust estimation equation with the elemental empirical likelihood method, and propose an efficient robust estimator, where the robust ...

Abstract: Model of a plant is used to get an insight of the physical system behavior and there always a scope exists to improve the model parameters by using proper estimation techniques. First ...