Top Model Guides: Clustering, Regression, Queueing & Monte Carlo Simulations
This curated list groups recent explanatory and simulation model articles—covering clustering analysis, linear regression, queueing theory, Markov chains, and Monte Carlo methods—into easy-to-navigate sections for quick reference, helping students and practitioners locate relevant resources efficiently.
For easy reference, we have compiled recent articles on explanatory and simulation models, organized into two sections.
1. Explanatory Models
Clustering Analysis – Similarity Measures
Clustering Analysis – Hierarchical Clustering
Clustering Analysis – Variable Clustering
Clustering Analysis – K-Means Method
Linear Regression
2. Simulation Models
Queueing Theory – Basic Concepts
Queueing Theory – Single-Server Model
Queueing Theory – Multi-Server Model
Markov Chain Model
Monte Carlo Simulation – Introduction
Monte Carlo Simulation – Definite Integral Calculation
Monte Carlo Simulation – Applications in Probability
Monte Carlo Simulation – Finding Global Optimum
Monte Carlo Simulation – Queueing Problems
More model articles are being added continuously; stay tuned.
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Model Perspective
Insights, knowledge, and enjoyment from a mathematical modeling researcher and educator. Hosted by Haihua Wang, a modeling instructor and author of "Clever Use of Chat for Mathematical Modeling", "Modeling: The Mathematics of Thinking", "Mathematical Modeling Practice: A Hands‑On Guide to Competitions", and co‑author of "Mathematical Modeling: Teaching Design and Cases".
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