Probabilistic and Statistical Methods in Computer Science
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Author
Contributions
- Schott, René - Contributor
Publication
2001 - Springer US, Boston, MA, United States
Language
English
Word Count
59,000 words, Guess
Page Count
236 pages
Physical Format
[electronic resource] /
Identifiers
- Open LibraryOL27082730M
- ISBN-139781441948779
- ISBN-101441948775
- OCLC Control Number851768015
- OCLC Control Numberprobabilisticsta00mari
Classifications
- DDC519.5
- LCCQA276-280
Description
Probabilistic and Statistical Methods in Computer Science presents a large variety of applications of probability theory and statistics in computer science and more precisely in algorithm analysis, speech recognition and robotics. It is written on a self-contained basis: all probabilistic and statistical tools needed are introduced on a comprehensible level. In addition all examples are worked out completely. Most of the material is scattered throughout available literature. However, this is the first volume that brings together all of this material in such an accessible format. Probabilistic and Statistical Methods in Computer Science is intended for students in computer science and applied mathematics, for engineers and for all researchers interested in applications of probability theory and statistics. It is suitable for self study as well as being appropriate for a course or seminar.
Subjects
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