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Applied Probability for Engineers [Kietas viršelis]

  • Formatas: Hardback, 592 pages, aukštis x plotis x storis: 234x160x41 mm, weight: 975 g, 100 illustrations
  • Išleidimo metai: 16-Jun-1997
  • Leidėjas: McGraw-Hill Professional
  • ISBN-10: 0070618607
  • ISBN-13: 9780070618602
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 592 pages, aukštis x plotis x storis: 234x160x41 mm, weight: 975 g, 100 illustrations
  • Išleidimo metai: 16-Jun-1997
  • Leidėjas: McGraw-Hill Professional
  • ISBN-10: 0070618607
  • ISBN-13: 9780070618602
Kitos knygos pagal šią temą:
Demonstrates how probabilistic methods can be used to account for the variability and uncertainty that are an inherent feature of many engineering products and systems. Examples are provided from various areas of engineering, including mechanical, structural, civil, earthquake, industrial, reliability, materials, ocean, aerospace, electronic, and telecommunications. Suitable for young engineers and engineering students with some background in calculus, ordinary and partial differential equations, and general engineering disciplines. Annotation c. by Book News, Inc., Portland, Or.

This watershed resource shows how to use various probabilistic methods and approaches in practical problems of engineering and applied science. These methods enable readers to understand the behavior and performance of engineering products in the conditions of variability and uncertainty, and to ensure the effectiveness and durability of these products. Intended for engineers and applied scientists of different specialities, backgrounds, qualifications, and levels of experience, this straightforward and easy-to-use guide offers practical insight into the role of the ``laws of chance'' and causes and effects of variability in numerous design problems encountered in mechanical, structural, materials, reliability, telecommunications, and other areas of engineering. The book contains dozens of practical examples that demonstrate the key role that probabilistic methods can play in the analysis and design of viable and reliable engineering components, products, and systems.
Random Events.Discrete Random Variables.Continuous Random Variables.Systems of Random Variables.Functions of Random Variables.Entropy and Information.Random Processes: Correlation Theory.Random Processes: Spectral Theory.Extreme Value Distributions.Reliability.Markovian Processes.Random Fatigue.Random Vibrations.Geometric Tolerance.Random Loads and Responses in Some Engineering Systems.Processing of Random Data.