Contact
How to shop
Delivery
Shopping guide
Computing Statistics under Interval and Fuzzy Uncertainty
Applications to Computer Science and Engineering
English
437 b
Up to 30 days for returns
Customers also purchased
/
Hardback
10 594
Ft
/
Book
1 766
Ft
/
Paperback
17 295
Ft
/
Paperback
7 425
Ft
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.
About the book
English
Give this book today
It's easy
1 Add to cart and choose Deliver as present at the checkout 2 We'll send you a voucher 3 The book will arrive at the recipient's addressYou might also be interested in
/
Paperback
81 617
Ft
Hi! I'm Libroamiko, your book advisor.
How can I help you?