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{ "item_title" : "Statistical Reliability Engineering", "item_author" : [" Hoang Pham "], "item_description" : "This book presents the state-of-the-art methodology and detailed analytical models and methods used to assess the reliability of complex systems and related applications in statistical reliability engineering. It is a textbook based mainly on the author's recent research and publications as well as experience of over 30 years in this field.The book covers a wide range of methods and models in reliability, and their applications, including:statistical methods and model selection for machine learning;models for maintenance and software reliability;statistical reliability estimation of complex systems; andstatistical reliability analysis of k out of n systems, standby systems and repairable systems.Offering numerous examples and solved problems within each chapter, this comprehensive text provides an introduction to reliability engineering graduate students, a reference for data scientists and reliability engineers, and a thorough guide for researchers and instructors in the field.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/03/076/903/3030769038_b.jpg", "price_data" : { "retail_price" : "119.99", "online_price" : "119.99", "our_price" : "119.99", "club_price" : "119.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Statistical Reliability Engineering|Hoang Pham

Statistical Reliability Engineering : Methods, Models and Applications

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Overview

This book presents the state-of-the-art methodology and detailed analytical models and methods used to assess the reliability of complex systems and related applications in statistical reliability engineering. It is a textbook based mainly on the author's recent research and publications as well as experience of over 30 years in this field.

The book covers a wide range of methods and models in reliability, and their applications, including:

  • statistical methods and model selection for machine learning;
  • models for maintenance and software reliability;
  • statistical reliability estimation of complex systems; and
  • statistical reliability analysis of k out of n systems, standby systems and repairable systems.

Offering numerous examples and solved problems within each chapter, this comprehensive text provides an introduction to reliability engineering graduate students, a reference for data scientists and reliability engineers, and a thorough guide for researchers and instructors in the field.

This item is Non-Returnable

Details

  • ISBN-13: 9783030769031
  • ISBN-10: 3030769038
  • Publisher: Springer
  • Publish Date: August 2021
  • Dimensions: 9.21 x 6.14 x 1.13 inches
  • Shipping Weight: 1.98 pounds
  • Page Count: 497

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