Title:
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Inference about stationary distributions of Markov chains based on divergences with observed frequencies (English) |
Author:
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Menéndez, María Luisa |
Author:
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Morales, Domingo |
Author:
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Pardo, Leandro |
Author:
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Vajda, Igor |
Language:
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English |
Journal:
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Kybernetika |
ISSN:
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0023-5954 |
Volume:
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35 |
Issue:
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3 |
Year:
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1999 |
Pages:
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[265]-280 |
Summary lang:
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English |
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Category:
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math |
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Summary:
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For data generated by stationary Markov chains there are considered estimates of chain parameters minimizing $\phi $–divergences between theoretical and empirical distributions of states. Consistency and asymptotic normality are established and the asymptotic covariance matrices are evaluated. Testing of hypotheses about the stationary distributions based on $\phi $–divergences between the estimated and empirical distributions is considered as well. Asymptotic distributions of $\phi $–divergence test statistics are found, enabling to specify asymptotically $\alpha $-level tests. (English) |
Keyword:
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$\phi$-divergence |
Keyword:
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empirical distributions |
Keyword:
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parameter estimation |
Keyword:
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hypotheses testing |
MSC:
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62E20 |
MSC:
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62M02 |
MSC:
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62M05 |
idZBL:
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Zbl 1274.62548 |
idMR:
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MR1704667 |
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Date available:
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2009-09-24T19:25:47Z |
Last updated:
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2015-03-27 |
Stable URL:
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http://hdl.handle.net/10338.dmlcz/135288 |
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Reference:
|
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Reference:
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Reference:
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Reference:
|
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Reference:
|
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Reference:
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Reference:
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Reference:
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