£134.25

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£134 today · 30-day average £129 · all-time low £127

Butterworth-Heinemann Handbook of Probabilistic Models - Engineering Applications

Amazon

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£139.99 £125.69 £128.81 £131.93 £135.05 £138.17 £141.29 25 July 2026 12 August 2026 30 August 2026 17 September 2026 06 October 2026
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Description

Handbook of Probabilistic Models by Butterworth-Heinemann is a comprehensive resource that explores the application of advanced probabilistic models across conventional engineering disciplines. This handbook delivers detailed explanations of technical concepts, practical applications, and scientific methodologies essential for solving complex engineering problems. The book adopts an interdisciplinary approach, covering mechanical engineering, civil engineering, electronics, and electrical fields with rigorous probabilistic frameworks. Practitioners, researchers, and scientists will find valuable insights into how to implement sophisticated probabilistic techniques in real-world engineering scenarios. Whether you work in academia or industry, this handbook provides the theoretical foundations and applied knowledge needed to master probabilistic modelling in modern engineering practice.

Key Features

Handbook covers advanced probabilistic models tailored for mechanical engineering, civil engineering, electronics, and electrical engineering disciplines.

Detailed technical explanations provide both theoretical concepts and practical methods for implementing probabilistic solutions in engineering applications.

Interdisciplinary approach in Handbook of Probabilistic Models connects multiple engineering fields through unified probabilistic frameworks and principles.

Comprehensive resource designed for practitioners, researchers, and scientists working with complex engineering problems and probabilistic analysis.

Scientific methodologies presented throughout guide engineers in selecting and applying appropriate probabilistic models to real-world technical challenges.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
16 October 2019
Listed Since
10 April 2019

Barcode

No barcode data available

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