Statistical Foundations, Reasoning and Inference

Statistical Foundations, Reasoning and Inference
Author :
Publisher : Springer Nature
Total Pages : 361
Release :
ISBN-10 : 9783030698270
ISBN-13 : 3030698270
Rating : 4/5 (270 Downloads)

Book Synopsis Statistical Foundations, Reasoning and Inference by : Göran Kauermann

Download or read book Statistical Foundations, Reasoning and Inference written by Göran Kauermann and published by Springer Nature. This book was released on 2021-09-30 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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