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Asymptotic Statistical Results: Theory and Practice

In: Computational Mathematics and Variational Analysis

Author

Listed:
  • Christos P. Kitsos

    (West Attica University)

  • Amílcar Oliveira

    (Universidade Aberta and CEAUL)

Abstract

The target of this paper is to discuss the existent difference of Asymptotic Theory in Statistics comparing to Mathematics. There is a need for a limiting distribution in Statistics, usually the Normal one. Adopting the sequential principle the first-order autoregression model and the stochastic approximation are referred for their particular interest for asymptotic results.

Suggested Citation

  • Christos P. Kitsos & Amílcar Oliveira, 2020. "Asymptotic Statistical Results: Theory and Practice," Springer Optimization and Its Applications, in: Nicholas J. Daras & Themistocles M. Rassias (ed.), Computational Mathematics and Variational Analysis, pages 177-190, Springer.
  • Handle: RePEc:spr:spochp:978-3-030-44625-3_10
    DOI: 10.1007/978-3-030-44625-3_10
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