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Causal Inference in Statistics (English, Judea Pearl)
Wiley

Causal Inference in Statistics (English, Judea Pearl)

by Judea Pearl

Publisher: Wiley

Language: English

3,374

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Specifications

PublisherWiley
LanguageEnglish
ISBN-139781119186847
ISBN-101119186846
AuthorJudea Pearl

Product Description

About the Book

From the Back Cover CAUSAL INFERENCE IN STATISTICS A Primer Causality is central to the understanding and use of data. Without an understanding of cause-effect relationships, we cannot use data to answer questions as basic as "Does this treatment harm or help patients?" But though hundreds of introductory texts are available on statistical methods of data analysis, until now, no beginner-level book has been written about the exploding arsenal of…

ISBN: 9781119186847

Book Insights

What You'll Learn

  • ·In-depth exploration of topics covered in Causal Inference in Statistics
  • ·Key concepts explained with clarity and practical examples
  • ·Insights valuable for anyone studying or working in Wiley

Who Should Read This

Beginners and newcomers to the subject, as well as curious general readers.

Key Highlights

  • ·Brand new physical book delivered across India
  • ·15-day hassle-free return policy

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Causal Inference in Statistics is available in English on GlowMirror.
Who is the author of Causal Inference in Statistics?
Causal Inference in Statistics is authored by Judea Pearl.
Who published Causal Inference in Statistics?
Causal Inference in Statistics is published by Wiley.
How many pages does Causal Inference in Statistics have?
Page count information for Causal Inference in Statistics is available in the specifications section of this page.
How long does it take to read Causal Inference in Statistics?
At an average reading speed of 250 words per minute, reading Causal Inference in Statistics takes a few hours to a few days depending on reading pace.
What is Causal Inference in Statistics about?
About the Book From the Back Cover CAUSAL INFERENCE IN STATISTICS A Primer Causality is central to the understanding and use of data. Without an understanding of cause-effect relationships, we cannot use data to answer questions as basic as "Does this treatment harm or help patients?" But though h...
Is Causal Inference in Statistics suitable for beginners?
Whether Causal Inference in Statistics is suitable for beginners depends on your background in Wiley. Review the product description and specifications above for details on the target audience and difficulty level.
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