Computing Statistics under Interval and Fuzzy Uncertainty Applications to Computer Science and Engineering /
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, an...
| Main Authors: | Nguyen, Hung T. (Author), Kreinovich, Vladik (Author), Wu, Berlin (Author), Xiang, Gang (Author) |
|---|---|
| Corporate Author: | SpringerLink (Online service) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2012.
|
| Series: | Studies in Computational Intelligence,
393 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Similar Items
-
Fundamentals of Statistics with Fuzzy Data
by: Nguyen, Hung T., et al.
Published: (2006) -
Interval / Probabilistic Uncertainty and Non-Classical Logics
Published: (2008) -
Fuzzy Networks for Complex Systems A Modular Rule Base Approach /
by: Gegov, Alexander
Published: (2011) -
Evolutionary Computation in Dynamic and Uncertain Environments
Published: (2007) -
Mathematics of Uncertainty Ideas, Methods, Application Problems /
by: Bandemer, Hans-Walter
Published: (2006)