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{ "item_title" : "An Introduction to Order Statistics", "item_author" : [" Mohammad Ahsanullah", "Valery B. Nevzorov", "Mohammad Shakil "], "item_description" : "This book presents the theory of order statistics in a way, such that beginners can get easily acquainted with the very basis of the theory without having to work through heavily involved techniques. At the same time more experienced readers can check their level of understanding and polish their knowledge with certain details. This is achieved by, on the one hand, stating the basic formulae and providing many useful examples to illustrate the theoretical statements, while on the other hand an upgraded list of references will make it easier to gain insight into more specialized results. Thus this book is suitable for a readership working in statistics, actuarial mathematics, reliability engineering, meteorology, hydrology, business economics, sports analysis and many more.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/49/121/682/9491216821_b.jpg", "price_data" : { "retail_price" : "69.95", "online_price" : "69.95", "our_price" : "69.95", "club_price" : "69.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
An Introduction to Order Statistics|Mohammad Ahsanullah

An Introduction to Order Statistics

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Overview

This book presents the theory of order statistics in a way, such that beginners can get easily acquainted with the very basis of the theory without having to work through heavily involved techniques. At the same time more experienced readers can check their level of understanding and polish their knowledge with certain details. This is achieved by, on the one hand, stating the basic formulae and providing many useful examples to illustrate the theoretical statements, while on the other hand an upgraded list of references will make it easier to gain insight into more specialized results. Thus this book is suitable for a readership working in statistics, actuarial mathematics, reliability engineering, meteorology, hydrology, business economics, sports analysis and many more.

This item is Non-Returnable

Details

  • ISBN-13: 9789491216824
  • ISBN-10: 9491216821
  • Publisher: Atlantis Press
  • Publish Date: March 2013
  • Dimensions: 9.21 x 6.14 x 0.63 inches
  • Shipping Weight: 1.18 pounds
  • Page Count: 244

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