Expert Knowledge Based Reliability Models: Theory and Case Study: Integrating Data and Expert Opinion Using Bayesian Statistics to Build Complex Reliability Models - Image 1

£58.00

VDM Verlag Expert Knowledge Based Reliability Models: Theory and Case Study: Integrating Data and Expert Opinion Using Bayesian Statistics to Build Complex Reliability Models

Name: Expert Knowledge Based Reliability Models: Theory and Case Study: Integrating Data and Expert Opinion Using Bayesian Statistics to Build Complex Reliability Models
Brand: VDM Verlag
Price: 58.0 GBP
Availability: InStock

Engineering Physics

This is the most expensive it has ever been. Walk away.

£58 today · previous high £58 · all-time low £23

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 631 days • 631 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 631 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £58 (613 days, 97.1%)

Price range: £23 - £58

Price levels: 2 different prices over 631 days

Description

Recently there has been an increasing interest in what is called Evidence Based Asset Management. The principle of EBAM is to use all available information in form of statistical data or expert knowledge to frame the problem as a mathematical model which can be solved by optimization techniques. As we employ complex reliability and maintenance models it becomes difficult to find the necessary statistical data in appropriate formats. Available knowledge elicitation techniques usually require high proficiency in statistical and cognitive techniques. In this book after a comprehensive review of the literature on knowledge elicitation and formulation techniques, I have presented a simple methodology that elicits expert knowledge to be used in different reliability models. The models can be updated later with statistical data by applying Bayesian statistics. The theory is complemented by a real industrial case study. Although the case study is based on a rather complex reliability model, the technique can easily be employed in more simple situations such as for Weibull distribution. The book is intended for engineers, consultants, and students in the field of asset management. About the Author Ali Zuashkiani, PhD: Studied Physical Asset Management. A Research Associate and the Director of Educational Program at Center for Maintenance Optimizations and Reliability Engineering at the University of Toronto. A Consultant, working with different consulting firms including Conscious Asset Management, OMDEC, Aryana Group, and Banak Inc.

Product Specifications

Brand: VDM Verlag
Format: Paperback
ASIN: 3639020561
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology > Engineering Physics
Domain: Amazon UK
Publication Date: 08 July 2008
Listed Since: 21 July 2008

Barcode

No barcode data available

VDM Verlag Expert Knowledge Based Reliability Models: Theory and Case Study: Integrating Data and Expert Opinion Using Bayesian Statistics to Build Complex Reliability Models

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Engineering Reliability: 2 (ASA-SIAM Series on Statistics and Applied Probability, Series Number 2)

Statistical Methods for Reliability Data (Wiley Series in Probability and Statistics)

Reliability Analysis Using MINITAB and Python

Modern Statistical And Mathematical Methods In Reliability: 10 (Series on Quality, Reliability and Engineering Statistics)

Introduction to Bayesian Estimation and Copula Models of Dependence

Bayesian Methods for Structural Dynamics and Civil Engineering

Reliability and Decision Making

Wiley Reliability Engineering - 3rd Edition Textbook

Reliability Modelling: A Statistical Approach

Reliability Modelling: A Statistical Approach

Reliability Assessments: Concepts, Models, and Case Studies

Reliability and Risk: A Bayesian Perspective (Wiley Series in Probability and Statistics)

Practical Applications of Bayesian Reliability (Quality and Reliability Engineering Series)

Reliability and Availability Engineering: Modeling, Analysis, and Applications

Bayesian Reliability (Springer Series in Statistics)

Reliability Analysis with Minitab

Risk and Reliability Engineering for Asset Managers

Process Control System Fault Diagnosis: A Bayesian Approach (Wiley Series in Dynamics and Control of Electromechanical Systems)

Springer Analytics Modeling in Reliability and Machine Learning

System Reliability Theory: Models, Statistical Methods, and Applications (Wiley Series in Probability and Statistics)

Reliability Engineering: Theory and Practice

Reliability Engineering: Theory and Practice

Structural and System Reliability

Reliability, Maintenance and Logistic Support: - A Life Cycle Approach