Statistical Foundations, Reasoning and Inference : For Science and Data Science Hardback
by Goran Kauermann, Helmut Kuchenhoff, Christian Heumann
Part of the Springer Series in Statistics series
Hardback
Description
This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science.
The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the quantification of uncertainty.
Moreover, the book addresses statistical ideas that are useful in modern data analytics, including bootstrapping, modeling of multivariate distributions, missing data analysis, causality as well as principles of experimental design.
The textbook includes sufficient material for a two-semester course and is intended for master’s students in data science, statistics and computer science with a rudimentary grasp of probability theory.
It will also be useful for data science practitioners who want to strengthen their statistics skills.
Information
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Only a few left - usually despatched within 24 hours
- Format:Hardback
- Pages:356 pages, 10 Illustrations, color; 77 Illustrations, black and white; XIII, 356 p. 87 illus., 10 il
- Publisher:Springer Nature Switzerland AG
- Publication Date:01/10/2021
- Category:
- ISBN:9783030698263
Other Formats
- Paperback / softback from £63.35
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£89.19
Information
-
Only a few left - usually despatched within 24 hours
- Format:Hardback
- Pages:356 pages, 10 Illustrations, color; 77 Illustrations, black and white; XIII, 356 p. 87 illus., 10 il
- Publisher:Springer Nature Switzerland AG
- Publication Date:01/10/2021
- Category:
- ISBN:9783030698263