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Volumn 23, Issue 1, 2004, Pages 105-123
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Analysing Italian voluntary abortion data using a Bayesian approach to the time series decomposition
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Author keywords
Bayesian analysis; Dynamical systems; Markov chain Monte Carlo; Structural time series analysis; Time series decomposition; Volutary abortion
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Indexed keywords
ARTICLE;
BAYES THEOREM;
CONTROLLED STUDY;
DATA ANALYSIS;
FEMALE;
HEALTH CARE ORGANIZATION;
HUMAN;
INDUCED ABORTION;
ITALY;
MONTE CARLO METHOD;
PERIODICITY;
PROBABILITY;
SEASONAL VARIATION;
STATISTICAL ANALYSIS;
STATISTICAL MODEL;
TIME SERIES ANALYSIS;
ABORTION, LEGAL;
BAYES THEOREM;
CLUSTER ANALYSIS;
CONFIDENCE INTERVALS;
HUMANS;
ITALY;
MARKOV CHAINS;
MONTE CARLO METHOD;
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EID: 0346025732
PISSN: 02776715
EISSN: None
Source Type: Journal
DOI: 10.1002/sim.1478 Document Type: Article |
Times cited : (3)
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References (21)
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