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Data modeling for the sciences : applications, basics, computations
Author
Title
Data modeling for the sciences : applications, basics, computations / Steve Press?e, Ioannis Sgouralis.
ISBN
9781009089555
9781009098502
Publication
Cambridge : Cambridge University Press, 2023.
Physical Description
1 online resource (xv, 415 pages) : illustrations (black and white), digital, PDF file(s)
Local Notes
Access is available to the Yale community.
Notes
Also issued in print: 2023.
Description based on online resource; title from PDF title page (viewed on September 6, 2023).
Access and use
Access restricted by licensing agreement.
Summary
With the increasing prevalence of big data and sparse data, and rapidly growing data-centric approaches to scientific research, students must develop effective data analysis skills at an early stage of their academic careers. This detailed guide to data modeling in the sciences is ideal for students and researchers keen to develop their understanding of probabilistic data modeling beyond the basics of p-values and fitting residuals.
Variant and related titles
Cambridge core frontlist 2023.
Other formats
Print version :
Format
Books / Online
Language
English
Added to Catalog
October 03, 2023
Bibliography
Includes bibliographical references and index.
Audience
Specialized.
Subjects
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