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A First Course in Causal Inference (Chapman & Hall/CRC Texts in Statistical Science)
Item #: 91878442

A First Course in Causal Inference (Chapman & Hall/CRC Texts in Statistical Science)

Item #: 91878442

INR 6212

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What Stands Out

Comprehensive Coverage
This book offers an extensive introduction to causal inference, making complex concepts accessible to beginners while also providing depth for advanced readers, ensuring a thorough understanding of the subject.
Practical Applications
Includes real-world examples and case studies that demonstrate how causal inference techniques can be effectively applied in various fields, aiding readers in translating theory into practice.
Expert Authorship
Authored by leading experts in statistical science, the text guarantees high-quality insights and methodologies, positioning itself as a reliable resource for students and practitioners alike.

Product Details

Shop A First Course in Causal Inference (Chapman & Hall/CRC Texts in Statistical Science) online at a best price in India. 1032758627
Publisher Chapman and Hall/CRC
Publication date June 7, 2024
Edition 1st
Language English
Print length 448 pages
ISBN-10 1032758627
ISBN-13 978-1032758626
Item Weight 2.15 pounds (980 grams)
Dimensions 7.24 x 1.2 x 10.24 inches (18.4 x 3 x 26 cm)
Part of series Miller Williams Poetry Prize

Who Should Buy?

Suitable For
  • Statistics Students

    Ideal for undergraduate and graduate students seeking to understand causal inference methodologies and their applications in statistics.

  • Data Analysts

    Provides data analysts with foundational knowledge on causal inference techniques, essential for meaningful interpretation of data findings.

  • Researchers

    Beneficial for researchers in social sciences, providing tools to analyze relationships and influence between variables effectively.

Not Suitable For
  • Beginners in Statistics

    Not suitable for complete beginners, as it assumes a basic understanding of statistical concepts and methodologies.

Product Description

A First Course in Causal Inference (Chapman & Hall/CRC Texts in Statistical Science)

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Pros

  • Comprehensive causal inference coverage
  • User-friendly explanations and examples
  • Strong theoretical foundation
  • Diverse statistical methodologies included
  • Suitable for beginners and experts

Cons

  • Occasional complex notation

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