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{ "item_title" : "Approximating Probability Distribution", "item_author" : [" Mrinal Sinha "], "item_description" : "The book Approximating Probability Distribution is designed to guide readers from fundamental concepts to the frontiers of research in this field. It offers a balanced mix of theory, computational techniques, and real-world examples, providing insights into both classical methods and modern advancements. The content is accessible for those with a basic understanding of probability while also offering deep dives into more complex topics for advanced readers. Throughout the book, clear illustrations and proofs are provided to solidify understanding and encourage practical application. The narrative is interwoven with historical context and contemporary research developments, creating a resource that is both informative and inspirational for anyone looking to master the subject of probability approximations.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/36/224/650/9362246503_b.jpg", "price_data" : { "retail_price" : "136.99", "online_price" : "136.99", "our_price" : "136.99", "club_price" : "136.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Approximating Probability Distribution|Mrinal Sinha

Approximating Probability Distribution

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Overview

The book Approximating Probability Distribution is designed to guide readers from fundamental concepts to the frontiers of research in this field. It offers a balanced mix of theory, computational techniques, and real-world examples, providing insights into both classical methods and modern advancements. The content is accessible for those with a basic understanding of probability while also offering deep dives into more complex topics for advanced readers. Throughout the book, clear illustrations and proofs are provided to solidify understanding and encourage practical application. The narrative is interwoven with historical context and contemporary research developments, creating a resource that is both informative and inspirational for anyone looking to master the subject of probability approximations.

This item is Non-Returnable

Details

  • ISBN-13: 9789362246509
  • ISBN-10: 9362246503
  • Publisher: Discovery Publishing House (India)
  • Publish Date: January 2026
  • Dimensions: 9.61 x 6.69 x 0.56 inches
  • Shipping Weight: 1.27 pounds
  • Page Count: 236

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