Statistical Foundations, Reasoning and Inference
Summary
The feel-good place to buy books
Statistical Foundations, Reasoning and Inference by Christian Heumann
This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science.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.
| SKU | Unavailable |
| ISBN 13 | 9783030698263 |
| ISBN 10 | 3030698262 |
| Title | Statistical Foundations, Reasoning and Inference |
| Author | Göran Kauermann |
| Series | Springer Series In Statistics |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer Nature Switzerland AG |
| Year published | 2021-10-01 |
| Number of pages | 356 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |