Research Topic · Peer-Reviewed

Confidence Intervals

Confidence Intervals are used to provide an estimate of the range of values associated with an unknown population parameter. They are used in statistical data analysis to calculate the reliability of a sample set, and are especially useful when predicting an outcome on the basis of a limited amount of data. A confid…

Curated from this journal's research 📚 12 peer-reviewed articles cited Cited 37× across the literature 🔖 ISSN 2643-2811 🗓 Reviewed June 2026

Overview

Confidence Intervals are used to provide an estimate of the range of values associated with an unknown population parameter. They are used in statistical data analysis to calculate the reliability of a sample set, and are especially useful when predicting an outcome on the basis of a limited amount of data. A confidence interval is typically expressed as a percentage and can help decision makers to accurately assess the risk associated with their decisions. For example, if you wanted to predict the amount of revenue you would receive from a new product, a confidence interval provides an estimate of the range of possible outcomes, allowing you to make informed decisions about how to best invest your resources.

Research published in this journal

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

How this research is being cited

The 12 articles above have been cited 37 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 Confidence Intervals, 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.