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{ "item_title" : "Probability Distributions Involving Gaussian Random Variables", "item_author" : [" Marvin K. Simon "], "item_description" : "This handbook, now available in paperback, brings together a comprehensive collection of mathematical material in one location. The book has been endorsed by top experts in the field worldwide, ensuring quality and value. It offers a variety of new results interpreted in a form that is particularly useful to engineers, scientists, and applied mathematicians. The handbook is not specific to fixed research areas, but rather it has a generic flavor that can be applied by anyone working with probabilistic and stochastic analysis and modeling. Classic results are presented in their final form without derivation or discussion, allowing for much material to be condensed into one volume. Concise compilation of disparate formulae saves time in searching different sources. The material in this book is timeless and has intrinsic value to today's and tomorrow's practicing engineers and scientists.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/38/734/657/0387346570_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Probability Distributions Involving Gaussian Random Variables|Marvin K. Simon

Probability Distributions Involving Gaussian Random Variables : A Handbook for Engineers and Scientists

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Overview

This handbook, now available in paperback, brings together a comprehensive collection of mathematical material in one location. The book has been endorsed by top experts in the field worldwide, ensuring quality and value. It offers a variety of new results interpreted in a form that is particularly useful to engineers, scientists, and applied mathematicians. The handbook is not specific to fixed research areas, but rather it has a generic flavor that can be applied by anyone working with probabilistic and stochastic analysis and modeling. Classic results are presented in their final form without derivation or discussion, allowing for much material to be condensed into one volume. Concise compilation of disparate formulae saves time in searching different sources. The material in this book is timeless and has intrinsic value to today's and tomorrow's practicing engineers and scientists.

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Details

  • ISBN-13: 9780387346571
  • ISBN-10: 0387346570
  • Publisher: Springer
  • Publish Date: November 2006
  • Dimensions: 9.22 x 6.14 x 0.51 inches
  • Shipping Weight: 0.85 pounds
  • Page Count: 200

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