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Estimation of some stochastic models used in reliability engineering
Tapio Huovinen
VTT Technical Research Centre of Finland
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Dive into the research topics of 'Estimation of some stochastic models used in reliability engineering'. Together they form a unique fingerprint.
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Keyphrases
Stochastic Model
100%
Reliability Engineering
100%
Maximum Likelihood Method
100%
Failure Analysis
50%
Common Cause Failure
50%
Failure Rate Function
50%
Lognormal
50%
Statistical Analysis
25%
Marked Point Process
25%
Failure Probability
25%
Point Process
25%
Weibull
25%
Technical Component
25%
Method of Moments
25%
Statistical Issues
25%
Beta-binomial Model
25%
Failure Intensity
25%
Intensity Function
25%
Non-homogeneous Poisson Process
25%
Homogeneous Poisson Process
25%
Matching Moments
25%
Poisson Model
25%
Mathematical Problems
25%
Gamma-poisson
25%
Weibull-Gamma
25%
Weibull Model
25%
Exponential-Gamma
25%
Continuous Probability Distributions
25%
Mathematics
Maximum Likelihood Method
100%
Stochastic Model
100%
Failure Rate
66%
Conditionals
33%
Marked Point Process
33%
Binomial Model
33%
Homogeneous Poisson Process
33%
Nonhomogeneous Poisson Process
33%
intensity function λ
33%
Continuous Probability Distribution
33%
Probability Theory
33%
Statistical Analysis
33%
Point Process
33%
Exponential Distribution
33%
Maximum Likelihood
33%
Great Deal
33%
Poisson Model
33%
Observed Data
33%
INIS
failures
100%
engineering
100%
stochastic processes
100%
reliability
100%
maximum-likelihood fit
66%
distribution
50%
probability
33%
mixtures
16%
data
16%
applications
16%
modeling
16%
lifetime
16%
moments method
16%