Skip to main navigation
Skip to search
Skip to main content
VTT's Research Information Portal Home
Search content at VTT's Research Information Portal
Home
Profiles
Research output
Projects
Datasets
Research units
Research Infrastructures
Activities
Prizes
Press/Media
Impacts
Bayesian aggregation of experts' judgements on failure intensity
Tony Rosqvist
Research output
:
Contribution to journal
›
Article
›
Scientific
›
peer-review
18
Link opens in a new tab
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Bayesian aggregation of experts' judgements on failure intensity'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Failure Intensity
100%
Failure Intensity Function
100%
Aggregation of Expert Judgment
100%
Maintenance Staff
50%
Power Law
50%
Tacit Knowledge
50%
Predictive Models
50%
Numerical Examples
50%
Repairable System
50%
Relative Performance
50%
Predictive Modeling
50%
Repair Cost
50%
Experience Feedback
50%
Posterior Distribution
50%
Cost Modeling
50%
Feedback Data
50%
Select Function
50%
Bayesian Statistical Methods
50%
Intensity Function
50%
Log-linear
50%
INIS
failures
100%
aggregation
100%
data
66%
modeling
66%
performance
33%
repair
33%
cost
33%
feedback
33%
power
33%
distribution
33%
yields
33%
capture
33%
maintenance
33%
personnel
33%
Mathematics
Bayesian
100%
intensity function λ
100%
Expert Judgment
100%
Statistical Approach
33%
Predictive Model
33%
Posterior Distribution
33%
Power Law
33%
Predictive Modeling
33%
Numerical Example
33%
Observed Data
33%
Engineering
Expert Judgment
100%
Intensity Function
100%
Dependability
33%
Maintenance Personnel
33%
Numerical Example
33%
Relative Performance
33%
Repair Cost
33%
Observed Data
33%
Cost Modeling
33%
Repairable System
33%
Posterior Distribution
33%
Tacit Knowledge
33%