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Statistical Foundations, Reasoning and Inference

For Science and Data Science
BuchKartoniert, Paperback
356 Seiten
Englisch
Springererschienen am02.10.20221st ed. 2021
This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science.mehr
Verfügbare Formate
BuchGebunden
EUR117,69
BuchKartoniert, Paperback
EUR85,59
E-BookPDF1 - PDF WatermarkE-Book
EUR85,59

Produkt

KlappentextThis textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science.
Details
ISBN/GTIN978-3-030-69829-4
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2022
Erscheinungsdatum02.10.2022
Auflage1st ed. 2021
ReiheSpringer Series in Statistics
Seiten356 Seiten
SpracheEnglisch
IllustrationenXIII, 356 p. 87 illus., 10 illus. in color.
Artikel-Nr.51047172

Inhalt/Kritik

Inhaltsverzeichnis
Introduction.- Background in Probability.- Parametric Statistical Models.- Maximum Likelihood Inference.- Bayesian Statistics.- Statistical Decisions.- Regression.- Bootstrapping.- Model Selection and Model Averaging.- Multivariate and Extreme Value Distributions.- Missing and Deficient Data.- Experiments and Causality.mehr

Schlagworte

Autor

Göran Kauermann is a Professor of Statistics at the Department of Statistics and Chair of the Elite Master's Program in Data Science at the LMU Munich, Germany. He is a recognized expert in applied statistics. He previously served as Editor-in-Chief of AStA Advances in Statistical Analysis, a journal of the German Statistical Society.

Helmut Küchenhoff is a Professor of Statistics at the Department of Statistics and Head of the Statistical Consulting Unit (StaBLab) at the LMU Munich, Germany. He has extensive experience in working on practical statistical projects in science and industry. His teaching focuses on practical work, where students engage in practical projects with real-world problems.


Christian Heumann is a Professor at the Department of Statistics, LMU Munich, Germany, where he teaches students in both the Bachelor's and Master's programs. His research interests include statistical modeling, computational statistics and methods for missing data, also in connection with causal inference. Recently, he has begun exploring statistical methods in natural language processing.