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Volumn 2, Issue , 2006, Pages 1769-1775
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Sensitivity and importance analysis of Markov models using perturbation analysis: Applications in reliability studies
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Author keywords
[No Author keywords available]
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Indexed keywords
DYNAMIC PROGRAMMING;
MARKOV PROCESSES;
QUALITY ASSURANCE;
RELIABILITY ANALYSIS;
RISK MANAGEMENT;
RISK PERCEPTION;
SENSITIVITY ANALYSIS;
NUMERICAL ANALYSIS;
COMPONENT IMPORTANCES;
DISCRETE EVENTS;
DYNAMIC SYSTEMS;
DYNAMIC SYSTEMS MODELS;
ESTIMATION METHODS;
EVENT TREES;
FUNCTIONAL DEPENDENCIES;
IMPORTANCE ANALYSIS;
MARKOV MODELS;
NUMERICAL EXAMPLES;
PERTURBATION ANALYSES;
RELIABILITY MODELS;
SEVERAL MEASURES;
SHARED RESOURCES;
STATIC SYSTEMS;
STEADY STATES;
RELIABILITY;
RELIABILITY ANALYSIS;
COMPONENT IMPORTANCE;
DISCRETE EVENTS;
ESTIMATION METHODS;
EVENT TREES;
FUNCTIONAL DEPENDENCY;
IMPORTANCE ANALYSIS;
MARKOV MODEL;
NUMERICAL EXAMPLE;
PERTURBATION ANALYSIS;
RELIABILITY MODEL;
SHARED RESOURCES;
STATIC SYSTEMS;
STEADY STATE;
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EID: 56149117513
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: None Document Type: Conference Paper |
Times cited : (5)
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References (9)
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