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Computing Statistics under Interval and Fuzzy Uncertainty : Applications to Computer Science and Engineering

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Computing Statistics under Interval and Fuzzy Uncertainty : Applications to Computer Science and Engineering
  • Bog, hardback (kr. 2.589,95) (kr. 2.589,95)
    • Leveringstid 5-7 hverdage
    • Forventet levering 27-11-2018
    Format:
    Bog, hardback
    Udgivelsesdato:
    01-11-2011
    Sprog:
    Engelsk
    Sidetal:
    444
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    1. Beskrivelse

      In many practical situations, we are interested in statistics characterizing a population of objects: e.g. in the mean height of people from a certain area.

       

      Most algorithms for estimating such statistics assume that the sample values are exact. In practice, sample values come from measurements, and measurements are never absolutely accurate. Sometimes, we know the exact probability distribution of the measurement inaccuracy, but often, we only know the upper bound on this inaccuracy. In this case, we have interval uncertainty: e.g. if the measured value is 1.0, and inaccuracy is bounded by 0.1, then the actual (unknown) value of the quantity can be anywhere between 1.0 - 0.1 = 0.9 and 1.0 + 0.1 = 1.1. In other cases, the values are expert estimates, and we only have fuzzy information about the estimation inaccuracy.

       

      This book shows how to compute statistics under such interval and fuzzy uncertainty. The resulting methods are applied to computer science (optimal scheduling of different processors), to information technology (maintaining privacy), to computer engineering (design of computer chips), and to data processing in geosciences, radar imaging, and structural mechanics.

      Andre udgaver:

      Bog, hæftet

    2. Yderligere info
      ISBN13:
      9783642249044
      Vægt:
      798 g
      Dybde:
      25 mm
      Bredde:
      156 mm
      Højde:
      234 mm
      Forlag:
      Springer
      Format:
      Hardback
    3. Anmeldelser

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