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  • The usual methods of time series coefficients estimates require various presumptions, which are often not fulfilled in praxis. It is problematic to determine reliability of these estimates in such cases. These estimates deficiencies remove bootstrap methods, which offer estimates of their bias and standard error.
  • The usual methods of time series coefficients estimates require various presumptions, which are often not fulfilled in praxis. It is problematic to determine reliability of these estimates in such cases. These estimates deficiencies remove bootstrap methods, which offer estimates of their bias and standard error. (en)
Title
  • Bootstrap methods of the coefficients estimates of the trend function in the time series
  • Bootstrap methods of the coefficients estimates of the trend function in the time series (en)
skos:prefLabel
  • Bootstrap methods of the coefficients estimates of the trend function in the time series
  • Bootstrap methods of the coefficients estimates of the trend function in the time series (en)
skos:notation
  • RIV/00216275:25410/09:00009331!RIV10-GA0-25410___
http://linked.open...avai/riv/aktivita
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  • P(GA402/09/1866)
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  • 305417
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  • RIV/00216275:25410/09:00009331
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  • non-life insurance; bootstrap method; autoregressive models; moving blocks overlapping and not overlapping methods; extrapolation (en)
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  • [9ADA2F53C9F6]
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  • Bratislava
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  • Kubanová, Jana
  • Linda, Bohdan
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  • Ekonomická univerzita v Bratislave. Vydavateľstvo EKONÓM
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  • 978-80-225-2837-5
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  • 25410
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