Könyv Computing Statistics under Interval and Fuzzy Uncertainty Hung T. Nguyen

Computing Statistics under Interval and Fuzzy Uncertainty

Applications to Computer Science and Engineering

Nyelv: Angol
Kötés: Kemény kötésű
Elérhetőség: Beszállítói készleten alacsony példányszámban
Küldés 11-15 napon belül
61 266 Ft
In many practical situations, we are interested in statistics characterizing a population of objects...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2011
oldal
432
EAN
9783642249044
ISBN
3642249043
Enbook ID
01659127
Súly
1760
Méretek
155 x 235 x 35

Teljes leírás

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.

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