Description
Unlock the fundamentals of Causal Inference in Statistics with this invaluable resource authored by the esteemed Judea Pearl. Ideal for beginners in statistics, this BRAND NEW book published by John Wiley & Sons in 2016, ISBN 9781119186847, offers a clear and comprehensive introduction to the complex concepts surrounding causality. Learn how to navigate the often intimidating terminology with ease, making it the perfect starting point for students and enthusiasts alike.
The text brilliantly incorporates examples from classical statistics to illustrate the pivotal role of causal reasoning in resolving real-world decision-making dilemmas. Discover the critical differences between causal methods and traditional statistical techniques, enhancing your understanding of the subject matter. Each section concludes with thoughtfully crafted questions that promote engagement and reinforce your learning experience.
Whether you are a student aiming to grasp the essentials of causal inference or a professional seeking to sharpen your statistical acumen, this book serves as an essential reference. With 160 pages of insightful content, you'll find yourself navigating the realm of statistical causality with confidence.
Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled.
Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled.
Condition: BRAND NEW
ISBN: 9781119186847
Year: 2016
Publisher: John Wiley & Sons (UK)
Pages: 160
Description:
Many of the concepts and terminology surrounding modern causal inference can be quite intimidating to the novice. Judea Pearl presents a book ideal for beginners in statistics, providing a comprehensive introduction to the field of causality Examples from classical statistics are presented throughout to demonstrate the need for causality in resolving decision-making dilemmas posed by data. Causal methods are also compared to traditional statistical methods, whilst questions are provided at the end of each section to aid student learning.
The text brilliantly incorporates examples from classical statistics to illustrate the pivotal role of causal reasoning in resolving real-world decision-making dilemmas. Discover the critical differences between causal methods and traditional statistical techniques, enhancing your understanding of the subject matter. Each section concludes with thoughtfully crafted questions that promote engagement and reinforce your learning experience.
Whether you are a student aiming to grasp the essentials of causal inference or a professional seeking to sharpen your statistical acumen, this book serves as an essential reference. With 160 pages of insightful content, you'll find yourself navigating the realm of statistical causality with confidence.
Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled.
Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled.
Condition: BRAND NEW
ISBN: 9781119186847
Year: 2016
Publisher: John Wiley & Sons (UK)
Pages: 160
Description:
Many of the concepts and terminology surrounding modern causal inference can be quite intimidating to the novice. Judea Pearl presents a book ideal for beginners in statistics, providing a comprehensive introduction to the field of causality Examples from classical statistics are presented throughout to demonstrate the need for causality in resolving decision-making dilemmas posed by data. Causal methods are also compared to traditional statistical methods, whilst questions are provided at the end of each section to aid student learning.