Computational Statistics
Dublin Core
Title
Computational Statistics
Subject
Probability and statistics
Description
How can we uncover hidden patterns in noisy, complex data? How can we make reliable predictions in an unpredictable world? And how can the combination of statistical theory, data from diverse sources, and increased computing power help us predict the future? In this age of data, and especially big data, computational statistics has become central to scientific discovery and decision-making. Therefore, this book explores the growing role of computational methods in statistical analysis, highlighting how we can transform sample data into meaningful predictions across various disciplines and domains.
Creator
Christos Volos
Source
https://intech-files.s3.amazonaws.com/a04Tc000008lIL5IAM/0016310_Authors_Book%20%282025-07-23%2010%3A38%3A49%29.pdf
Publisher
IntechOpen
Date
2025
Contributor
Mustabsyirah
Rights
Creative Commons
Format
PDF
Language
English
Type
Textbooks
Files
Collection
Citation
Christos Volos, “Computational Statistics,” Open Educational Resource (OER) - USK Library, accessed September 18, 2026, https://oer.usk.ac.id/items/show/10031.

