Empirical modeling involves the development of models that explain, predict, or simulate a particular aspect of the world, rather than purely theoretical or abstract principles. Empirical modeling ...

The modern economy is a complex machine. Its job is to allocate limited resources and distribute output among a large number of agents—mainly individuals, firms, and governments—allowing for the ...

In this paper, on the basis of the extant semi-empirical tire models of non-steady state with pure yaw angle input and pure side slip angle input, two empirical tire models of non-steady state side ...

As Moore’s Law marches on, the need for increased process margin, particularly in depth of focus, is driving optical proximity correction (OPC) and inverse lithography technology (ILT) to create more ...

This is a preview. Log in through your library . Abstract With the rapid accumulation of various high-throughput genomic and proteomic data, one is compelled to develop new statistical methods that ...

The whole picture of Mathematical Modeling is systematically and thoroughly explained in this text for undergraduate and graduate students of mathematics, engineering, economics, finance, biology, ...

Disclaimer: This Working Paper should not be reported as representing the views of the IMF.The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those ...

This paper examines which hybridization strategy is more suitable for credit risk assessment in the dynamic financial world. As such, we use extensive new data sets and develop different hybrid models ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...