Active Statistics - Andrew Gelman, Aki Vehtari

Active Statistics

Stories, Games, Problems, and Hands-on Demonstrations for Applied Regression and Causal Inference
Buch | Softcover
368 Seiten
2024
Cambridge University Press (Verlag)
978-1-009-43621-2 (ISBN)
24,90 inkl. MwSt
Applied regression and causal inference are central to statistics and data science. This book provides a large collection of stories, with hands-on activities, demonstrations, and problems that bring the subject to life and which facilitate group work and active student participation.
This book provides statistics instructors and students with complete classroom material for a one- or two-semester course on applied regression and causal inference. It is built around 52 stories, 52 class-participation activities, 52 hands-on computer demonstrations, and 52 discussion problems that allow instructors and students to explore in a fun way the real-world complexity of the subject. The book fosters an engaging 'flipped classroom' environment with a focus on visualization and understanding. The book provides instructors with frameworks for self-study or for structuring the course, along with tips for maintaining student engagement at all levels, and practice exam questions to help guide learning. Designed to accompany the authors' previous textbook Regression and Other Stories, its modular nature and wealth of material allow this book to be adapted to different courses and texts or be used by learners as a hands-on workbook.

The authors are experienced researchers who have published articles in hundreds of different scientific journals in fields including statistics, computer science, policy, public health, political science, economics, sociology, and engineering. They have also published articles in the Washington Post, New York Times, Slate, and other public venues. Their previous books include Bayesian Data Analysis, Teaching Statistics: A Bag of Tricks, and Regression and Other Stories. Andrew Gelman is Higgins Professor of Statistics and Professor of Political Science at Columbia University. Aki Vehtari is Professor in Computational Probabilistic Modeling at Aalto University, Finland.

How to use this book; Part I. Organizing a Plan of Study: 1. Active learning; 2. Setting up a course of study; 3. In the classroom; Part II. Stories, Activities, Problems, and Demonstrations: 4. Week by week: the first semester; 5. Week by week: the second semester; Appendixes: A. Pre-test questions; B. Final exam questions; C. Outlines of classroom activities.

Erscheinungsdatum
Zusatzinfo Worked examples or Exercises
Verlagsort Cambridge
Sprache englisch
Gewicht 690 g
Themenwelt Mathematik / Informatik Mathematik Statistik
Sozialwissenschaften Soziologie Empirische Sozialforschung
ISBN-10 1-009-43621-X / 100943621X
ISBN-13 978-1-009-43621-2 / 9781009436212
Zustand Neuware
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