Research Topic · Peer-Reviewed

Statistical Models

Statistical models are used to extract information and gain insights from data. They use mathematical equations and algorithms to analyze the data and reveal patterns and relationships between variables. Statistical models are used in many industries, such as finance, marketing, healthcare, and engineering, to make …

Curated from this journal's research 📚 7 peer-reviewed articles cited Cited 30× across the literature 🔖 ISSN 2643-2811 🗓 Reviewed June 2026

Overview

Statistical models are used to extract information and gain insights from data. They use mathematical equations and algorithms to analyze the data and reveal patterns and relationships between variables. Statistical models are used in many industries, such as finance, marketing, healthcare, and engineering, to make informed decisions and optimize processes. They are also used in predictive analytics and machine learning, which helps organizations understand their customer base, forecast future events and trends, and optimize operations. With its capacity to process large sets of data, statistical models are becoming increasingly important for businesses as they seek to gain a competitive edge.

Research published in this journal

7 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 7 articles above have been cited 30 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Statistical Models, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Model Based Research (ISSN 2643-2811).

Journal editorial board
Yoshiaki Kikuchi · Japan Yung-Yao Chen · Taiwan Yang Chen · United States

This page summarises published research for orientation; it is not medical or professional advice.