The Resource Computing statistics under interval and fuzzy uncertainty : applications to computer science and engineering, Hung T. Nguyen...[et al.], (electronic resource)

Computing statistics under interval and fuzzy uncertainty : applications to computer science and engineering, Hung T. Nguyen...[et al.], (electronic resource)

Label
Computing statistics under interval and fuzzy uncertainty : applications to computer science and engineering
Title
Computing statistics under interval and fuzzy uncertainty
Title remainder
applications to computer science and engineering
Statement of responsibility
Hung T. Nguyen...[et al.]
Contributor
Provider
Subject
Genre
Language
eng
Summary
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
Member of
Cataloging source
GW5XE
Image bit depth
0
LC call number
QA276.4
LC item number
.C66 2012
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorDate
1944-
http://library.link/vocab/relatedWorkOrContributorName
  • SpringerLink
  • Nguyen, Hung T.
Series statement
Studies in Computational Intelligence,
Series volume
393
http://library.link/vocab/subjectName
  • Mathematical statistics
  • Mathematical statistics
  • Ingénierie
Label
Computing statistics under interval and fuzzy uncertainty : applications to computer science and engineering, Hung T. Nguyen...[et al.], (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Bibliography note
Includes bibliographical references (p. 401-424) and index
Color
not applicable
Contents
Part I Computing Statistics under Interval and Fuzzy Uncertainty: Formulation of the Problem and an Overview of General Techniques Which Can Be Used for Solving this Problem -- Part II Algorithms for Computing Statistics Under Interval and Fuzzy Uncertainty -- Part III Towards Computing Statistics under Interval and Fuzzy Uncertainty: Gauging the Quality of the Input Data -- Part IV Applications -- Part V Beyond Interval and Fuzzy Uncertainty
Dimensions
unknown
Extent
1 online resource (xi, 430 p.)
File format
multiple file formats
Form of item
  • online
  • electronic
Isbn
9783642249044
Level of compression
uncompressed
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (OCoLC)765267146
  • (OCoLC)ocn765267146
Label
Computing statistics under interval and fuzzy uncertainty : applications to computer science and engineering, Hung T. Nguyen...[et al.], (electronic resource)
Publication
Antecedent source
mixed
Bibliography note
Includes bibliographical references (p. 401-424) and index
Color
not applicable
Contents
Part I Computing Statistics under Interval and Fuzzy Uncertainty: Formulation of the Problem and an Overview of General Techniques Which Can Be Used for Solving this Problem -- Part II Algorithms for Computing Statistics Under Interval and Fuzzy Uncertainty -- Part III Towards Computing Statistics under Interval and Fuzzy Uncertainty: Gauging the Quality of the Input Data -- Part IV Applications -- Part V Beyond Interval and Fuzzy Uncertainty
Dimensions
unknown
Extent
1 online resource (xi, 430 p.)
File format
multiple file formats
Form of item
  • online
  • electronic
Isbn
9783642249044
Level of compression
uncompressed
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (OCoLC)765267146
  • (OCoLC)ocn765267146

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