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Showing 1 - 20 results of 28 for search '"Heteroskedasticity"', query time: 0.34s Refine Results
  1. 1
    ... to be homoskedastic. This study investigates the conditional heteroskedasticity of mortality in terms of statistical...
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  2. 2
    ... related regression models. To handle the added flexibility in conditional heteroskedasticity in time...
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    Report
  3. 3
  4. 4
  5. 5
    Subjects: ...Bootstrap test Threshold autoregressive models Law of large numbers Heteroskedasticity Greenland...
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  6. 6
    by Forbes, Kevin
    Published 2022
    Subjects: ... heteroskedasticity,ARMAX, autoregressive–moving-average with exogenous inputs...
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    Article in Journal/Newspaper
  7. 7
    by Forbes, Kevin
    Published 2022
    Subjects: ...Autoregressive conditional heteroskedasticity,ARMAX...
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    Report
  8. 8
    by Forbes, Kevin
    Published 2022
    Subjects: ...Autoregressive conditional heteroskedasticity,ARMAX...
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    Report
  9. 9
    by Forbes, Kevin
    Published 2022
    Subjects: ... heteroskedasticity,ARMAX, autoregressive–moving-average with exogenous inputs...
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    Article in Journal/Newspaper
  10. 10
    by Forbes, Kevin
    Published 2022
    Subjects: ... heteroskedasticity,ARMAX, autoregressive–moving-average with exogenous inputs...
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    Article in Journal/Newspaper
  11. 11
    by Forbes, Kevin
    Published 2022
    Subjects: ... heteroskedasticity,ARMAX, autoregressive–moving-average with exogenous inputs...
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    Article in Journal/Newspaper
  12. 12
    by Forbes, Kevin
    Published 2022
    Subjects: ...Autoregressive conditional heteroskedasticity,ARMAX...
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  13. 13
  14. 14
    ... of a twig with zero intercept or full linear models. Heteroskedasticity was significant (P < 0.05...
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  15. 15
    by VELINOV, Anton Stoyanov
    Published 2013
    ... of a Markov switching (MS) in heteroskedasticity model. We use data from six different countries...
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    Doctoral or Postdoctoral Thesis
  16. 16
    ... by the generalized autoregressive conditional heteroskedasticity (GARCH) method. The nonstationarities of time-series...
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  17. 17
    ... more general dynamic structures and heteroskedasticity. We find that the score-driven models improve...
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    Text
  18. 18
    ... model and a time-dependent generalized autoregressive conditional heteroskedasticity (GARCH) model...
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  19. 19
    ... and heteroskedasticity. We find that the score-driven models improve the performance of the benchmark ice-age model. We...
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  20. 20
    ..., using more general dynamic structures and heteroskedasticity. We find that the score-driven models...
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