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Computational Statistics - Predicting the Future from Sample Data

By Christos Volos

Computational Statistics - Predicting the Future from Sample Data

By Christos Volos

0 - Default Title
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. This volume brings together five chapters, each of which addresses a unique aspect of modern computational statistics and is ideal for statisticians, data scientists, university professors, graduate students, and researchers who seek to deepen their knowledge of computational statistics and its impact on the real world.
Product details
Number of Pages:
84
Release Date:
2025-07-16
Publication Date:
2025-07-16
Publisher:
IntechOpen
Languages:
Original: English
ISBN10:
1836346174
ISBN13:
9781836346173
Weight:
390 g
Height:
183 cm
Width:
260 cm
Thickness:
11 cm
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