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portada Statistical Foundations, Reasoning and Inference: For Science and Data Science
Type
Physical Book
Author
Publisher
Language
English
Pages
356
Format
Paperback
Dimensions
23.4 x 15.6 x 2.0 cm
Weight
0.52 kg.
ISBN13
9783030698294
Categories

Statistical Foundations, Reasoning and Inference: For Science and Data Science

Christian Heumann (Author) · Göran Kauermann (Author) · Helmut Küchenhoff (Author) · Springer · Paperback

Statistical Foundations, Reasoning and Inference: For Science and Data Science - Kauermann, Göran ; Küchenhoff, Helmut ; Heumann, Christian

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Synopsis "Statistical Foundations, Reasoning and Inference: For Science and Data Science "

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.

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