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Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach - H. Bozdogan - Bog

Bag om Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach

These three volumes comprise the proceedings of the US/Japan Conference, held in honour of Professor H. Akaike, on the `Frontiers of Statistical Modeling: an Informational Approach'. The major theme of the conference was the implementation of statistical modeling through an informational approach to complex, real-world problems. Volume 1 contains papers which deal with the Theory and Methodology of Time Series Analysis. Volume 1 also contains the text of the Banquet talk by E. Parzen and the keynote lecture of H. Akaike. Volume 2 is devoted to the general topic of Multivariate Statistical Modeling, and Volume 3 contains the papers relating to Engineering and Scientific Applications. For all scientists whose work involves statistics.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9780792325970
  • Indbinding:
  • Hardback
  • Sideantal:
  • 302
  • Udgivet:
  • 31. december 1993
  • Størrelse:
  • 160x21x241 mm.
  • Vægt:
  • 620 g.
  • 8-11 hverdage.
  • 16. januar 2025
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Forlænget returret til d. 31. januar 2025
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Beskrivelse af Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach

These three volumes comprise the proceedings of the US/Japan Conference, held in honour of Professor H. Akaike, on the `Frontiers of Statistical Modeling: an Informational Approach'. The major theme of the conference was the implementation of statistical modeling through an informational approach to complex, real-world problems.
Volume 1 contains papers which deal with the Theory and Methodology of Time Series Analysis. Volume 1 also contains the text of the Banquet talk by E. Parzen and the keynote lecture of H. Akaike. Volume 2 is devoted to the general topic of Multivariate Statistical Modeling, and Volume 3 contains the papers relating to Engineering and Scientific Applications.
For all scientists whose work involves statistics.

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