Articles | Volume 3, issue 1
https://doi.org/10.5194/ascmo-3-55-2017
https://doi.org/10.5194/ascmo-3-55-2017
14 Jun 2017
 | 14 Jun 2017

Generalised block bootstrap and its use in meteorology

László Varga and András Zempléni

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Cited articles

Brockwell, P. J. and Davis, R. A.: Time series: theory and methods, Springer Science & Business Media, 2013.
Bücher, A. and Volgushev, S.: Empirical and sequential empirical copula processes under serial dependence, J. Multivariate Anal., 119, 61–70, 2013.
Chernick, M. R.: Bootstrap methods: A guide for practitioners and researchers, vol. 619, John Wiley & Sons, 2011.
Cong, R.-G. and Brady, M.: The interdependence between rainfall and temperature: copula analyses, The Scientific World Journal, 405675, https://doi.org/10.1100/2012/405675, 2012.
Efron, B.: Bootstrap methods: another look at the jackknife, Ann. Stat., 7, 1–26, 1979.
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Short summary
This paper proposes a new generalisation of the block bootstrap methodology, which allows for any positive real number as expected block size. We use this bootstrap for determining the p values of a homogeneity test for copulas. The methods are applied to a temperature data set - we have found some significant changes in the dependence structure between the standardised temperature values of pairs of observation points within the Carpathian Basin.