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Extremal Quantiles Of Maximums For Stationary Sequences With Pseudo-Stationary Trend With Applications In Electricity Consumption


  • Alexandr V. Kudrov


We propose a method for estimation of the distribution function of the maximums for time series with pseudo-stationarytrend on the basis of the earlier proved by the author theorems. The results are applied for estimation of the distribution function for the extremal values of electrical energy consumption.

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  • Alexandr V. Kudrov, 2013. "Extremal Quantiles Of Maximums For Stationary Sequences With Pseudo-Stationary Trend With Applications In Electricity Consumption," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 9(4), pages 53-64.
  • Handle: RePEc:mje:mjejnl:v:9:y:2013:i:4:p:53-64

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    References listed on IDEAS

    1. Svetlana Kirdina & Andrei Vernikov, 2013. "Evolution of the Banking System in the Russian Context: An Institutional View," Journal of Economic Issues, Taylor & Francis Journals, vol. 47(2), pages 475-484.
    2. Kirdina, Svetlana, 2010. "Prospects of liberalization for S&T policies in Russia: institutional analysis," MPRA Paper 23270, University Library of Munich, Germany.
    3. Vernikov, Andrei, 2017. "The impact of state-controlled banks on the Russian banking sector," MPRA Paper 77155, University Library of Munich, Germany.
    4. Veblen, Thorstein, 1898. "Why Economics is not an Evolutionary Science," History of Economic Thought Articles, McMaster University Archive for the History of Economic Thought, vol. 12.
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