Skip to main content

Statistical Predictor Identification

  • Chapter
Selected Papers of Hirotugu Akaike

Part of the book series: Springer Series in Statistics ((PSS))

Abstract

In a recent paper by the present author [1] a simple practical procedure of predictor identification has been proposed. It is the purpose of this paper to provide a theoretical and empirical basis of the procedure.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Akaike, H. (1969). Fitting autoregressive models for prediction, Ann. Inst. Statist. Math., 21, 243–247.

    Article  MathSciNet  MATH  Google Scholar 

  2. Anderson, T. W. (1963). Determination of the order of dependence in normally distributed time series, Time Series Analysis (ed. M. Rosenblatt), New York, John Wiley, 425–446.

    Google Scholar 

  3. Akaike, H. (1970). On a semi-automatic power spectrum estimation procedure, Proc. 3rd Hawaii International Conference on System Sciences, 974–977.

    Google Scholar 

  4. Diananda, P. H. (1953). Some probability limit theorems with statistical applications, Proc. Cambridge Philos. Soc., 49, 239–246.

    Article  MathSciNet  MATH  Google Scholar 

  5. Anderson, T. W. and Walker, A. M. (1964). On the asymptotic distribution of the autocorrelations of a sample from a linear stochastic process, Ann. Math. Statist., 35, 1296–1303.

    Article  MathSciNet  MATH  Google Scholar 

  6. Akaike, H. (1969). Power spectrum estimation through autoregressive model fitting, Ann. Inst. Statist. Math., 21, 407–419.

    Article  MathSciNet  MATH  Google Scholar 

  7. Mann, H. B. and Wald, A. (1943). On stochastic limit and order relationships, Ann. Math. Statist., 14, 217–226.

    Article  MathSciNet  MATH  Google Scholar 

  8. Durbin, J. (1960). The fitting of time-series models, Rev. Int. Inst. Stat., 28, 233–244.

    Article  MATH  Google Scholar 

  9. Jones, R. H. (1964). Prediction of multivariate time series, J. of Applied Meteorology, 3, 285–289.

    Article  Google Scholar 

Download references

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1998 Springer Science+Business Media New York

About this chapter

Cite this chapter

Akaike, H. (1998). Statistical Predictor Identification. In: Parzen, E., Tanabe, K., Kitagawa, G. (eds) Selected Papers of Hirotugu Akaike. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1694-0_11

Download citation

  • DOI: https://doi.org/10.1007/978-1-4612-1694-0_11

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-7248-9

  • Online ISBN: 978-1-4612-1694-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics