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{ "item_title" : "Modeling for Reliability Analysis", "item_author" : [" Jan Pukite", "Paul Pukite "], "item_description" : "This book provides comprehensive coverage of the Markov modeling method, a powerful technique for analyzing the reliability, maintainability, and safety of complex systems. Written for practicing engineers engaged in designing and providing support for complex redundant systems, this book contains necessary background material for probability theory and Markov analysis. It also contains a Windows-based computer program suitable for solving small to medium-sized problems. This book will be of interest to reliability engineers, safety engineers, system architectures, operations research analysts, maintainability engineers, logistics engineers, system developers: and statisticians.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/78/033/482/0780334825_b.jpg", "price_data" : { "retail_price" : "203.95", "online_price" : "203.95", "our_price" : "203.95", "club_price" : "203.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Modeling for Reliability Analysis|Jan Pukite

Modeling for Reliability Analysis : Markov Modeling for Reliability, Maintainability, Safety, and Supportability Analyses of Complex Systems

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Overview

This book provides comprehensive coverage of the Markov modeling method, a powerful technique for analyzing the reliability, maintainability, and safety of complex systems. Written for practicing engineers engaged in designing and providing support for complex redundant systems, this book contains necessary background material for probability theory and Markov analysis. It also contains a Windows-based computer program suitable for solving small to medium-sized problems. This book will be of interest to reliability engineers, safety engineers, system architectures, operations research analysts, maintainability engineers, logistics engineers, system developers: and statisticians.

This item is Non-Returnable

Details

  • ISBN-13: 9780780334823
  • ISBN-10: 0780334825
  • Publisher: Wiley-IEEE Press
  • Publish Date: June 1998
  • Dimensions: 9.98 x 7.03 x 0.55 inches
  • Shipping Weight: 1.05 pounds
  • Page Count: 288

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