Nonparametric Simulation Input Modeling, Drift Stability, and Low-Sample Optimization: A Unified Framework

Fuente: Zenodo

Gespeichert in:

Bibliographische Detailangaben
1. Verfasser:	Srebranig, Steven
Format:	Recurso digital
Veröffentlicht:	Zenodo 2025
Schlagworte:	Simulation, Input Modeling, Empirical Distribution Reconstruction, Histogram CDF, Tail Modeling, Autocorrelation, Drift Detection, Independence Testing, Correlogram, Subsampling, Design of Experiments (DOE), Factorial Design, ANOVA, Surrogate Modeling, Quadratic Regression, Response Surface Modeling, Optimization, Linear Programming, Monte Carlo Validation, Digital Twin, Predictive Maintenance, Nonparametric Methods, Simulation Optimization, Industrial Engineering, Operations Research, Stochastic Systems, Low-Sample Modeling, Manufacturing Systems, Simulation Drift, Data Scarcity, Python Implementation, pandas, statsmodels, Pyomo
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Online