Statistical Foundations, Reasoning and Inference
For Science and Data Science
Christian Heumann author Göran Kauermann author Helmut Küchenhoff author
Format:Paperback
Publisher:Springer Nature Switzerland AG
Published:2nd Oct '22
Currently unavailable, and unfortunately no date known when it will be back
This paperback is available in another edition too:
- Hardback£99.99(9783030698263)
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.
ISBN: 9783030698294
Dimensions: unknown
Weight: unknown
356 pages
1st ed. 2021