Statistical modeling and simulationIn the previous chapter, we covered basic statistical concepts and methods. In this chapter we build on the foundation laid out in the previous chapter and explore statistical modeling, which deals...doi:10.1007/978-1-4842-4246-9_14Robert Johansson...
shortcoming is the number of large random errors, which decrease extremely slowly as the number of experiments increases. For this reason, methods of model transformation that make it possible to reduce the spread of the observed quantities and the size of the modeling experiment have been worked ...
Advanced mathematical and statistical modeling tools Powerful symbolic and numeric solvers Math-aware programming language for fast prototyping and solution development Interactive application development and code generation tools for solution deployment
This paper by Felin and Holweg on this perspective describes it as being not just a matter of differing information access between the human and model, it’s that the human can a) conceive of possibilities that may contradict the prior evidence, and b) construct tests to see if these “del...
Defterli O, Purutcuoğlu V, Weber GW (2012) Advanced mathematical and statistical tools in the dynamic modeling and simulation of gene-environment regulatory networks. In: Zilberman D, Pinto A (eds) Modeling, optimization, dynamics and bioeconomy. Spring- er, New York...
Our approach is to use a continuous hinge function to produce a single, smooth curve (and single equation) by flexibly connecting two lines in log space. This post from 2017, “A continuous hinge function for statistical modeling,” we derived, coded, and plotted a hinge function from first...
内容简介· ··· This book brings together expert researchers engaged in Monte-Carlo simulation-based statistical modeling, offering them a forum to present and discuss recent issues in methodological development as well as public health applications. It is divided into three parts, with the first ...
A physics-based statistical model and simulation/modeling method and system of electromagnetic wave propagation (wireless communication) in urban environments. In particular, the model is a computationally efficient close-formed parametric model of RF propagation in an urban environment which is extracted ...
urban environments 发明人：Hsueh-Yuan Pao,Steven L. Dvorak 申请号：US11414054 申请日：20060427 公开号：US07796983B2 公开日：20100914 专利内容由知识产权出版社提供 专利附图：摘要：A physics-based statistical model and simulation/modeling method and system of electromagnetic wave propagation (wireless ...
Control Flow Modeling in Statistical Simulation John, Control Flow Modeling in Statistical Simulation for Accurate and Efficient Processor Design Studies, Proceedings of the 31st annual international symposium... L Eeckhout,RH Bell,B Stougie,... - 《Acm Sigarch Computer Architecture News》 被引量:...