数据链接：
官方服务：
资源简介：
Mathematica code for stochastic simulations
应用场景：
创建时间：
2016-02-24
相关数据集
Importance Sampling for Reliability Evaluation With Stochastic Simulation Models
Importance sampling has been used to improve the efficiency of simulations where the simulation output is uniquely determined, given a fixed input. We extend the theory of importance sampling to estim
DataCite Commons2024-03-24 更新110
Introduction to Fisheries Economics
Text book in fisheries economics and Mathematica programming. EARLY DRAFT
DataCite Commons2020-09-03 更新90
Strata Design for Variance Reduction in Stochastic Simulation
Stratified sampling is one of the powerful variance reduction methods for analyzing system performance, such as reliability, with stochastic simulation. It divides the input space into disjoint subset
DataCite Commons2024-12-02 更新70
DoFun 3.0: Functional equations in mathematica
We present version 3.0 of the Mathematica package DoFun for the derivation of functional equations. In this version, the derivation of equations for correlation functions of composite operators was ad
doi.org90
Data underlying the master thesis: Exploring Copula-Based Models for the Stochastic Simulation of Information Retrieval Evaluation Data
This dataset contains the results of the experiments that I ran for my master thesis. The full code (and more) can be found at https://github.com/dimitris93/msc-thesis
DataCite Commons2022-12-20 更新80
