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Application of the threshold method to air quality data

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Abstract

A new threshold method is explained in a manner suitable for workers in the general scientific area. Its application to the prediction of extreme pollutant concentrations is described and the results are compared with those of a conventional procedure, using a set of published data. A discussion concerning the difficulties of the presently used statistical technique is also included.

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References

  1. Cox, D. R. and Lewis, P. A. W.: 1966, The Statistical Analysis of Series of Events, Chapman and Hall, London.

    Google Scholar 

  2. Davidson, A.: 1984, Modelling excesses over high thresholds, with an application, in J. Tiago de Oliveria (ed.), Statistical Extremes and Application, D. Reidel, Dordrecht, pp. 461–482.

    Google Scholar 

  3. DuMouchel, W.: 1983, Estimating the stable index α in order to measure tail thickness, Ann. Statist. 11, 1019–1036.

    Google Scholar 

  4. Gumbel, E. J.: 1958, Statistics of Extremes, Columbia University Press, New York.

    Google Scholar 

  5. Hall, P.: 1982, On estimating the endpoint of a distribution, Ann. Statist. 10, 556–568.

    Google Scholar 

  6. Hill, B. M.: 1975, A simple general approach to inference about the tail of a distribution, Ann. Statist. 3, 1163–1174.

    Google Scholar 

  7. Pickands, J.: 1975, Statistical inference using extreme order statistics, Ann. Statist. 3, 119–31.

    Google Scholar 

  8. Roberts, F. M.: 1979a, Review of statistics of extreme values with applications to air quality data, Part I. Review, J. Air. Pollut. Control. Assoc. 29, 632–637.

    Google Scholar 

  9. Roberts, F. M.: 1979b, Review of statistics of extreme values with applications to air quality data, Part II. Applications, J. Air Pollut. Control. Assoc. 29, 733–740.

    Google Scholar 

  10. Surman, P. G., Bodero, J. and Simpson, R. W.: 1986, Application of extreme value theory to air quality data, Pacific Statistical Congress, North-Holland, Amsterdam, pp. 299–302.

    Google Scholar 

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Dargahi-Noubary, G.R. Application of the threshold method to air quality data. Nat Hazards 1, 227–233 (1988). https://doi.org/10.1007/BF00137228

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  • DOI: https://doi.org/10.1007/BF00137228

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