PROBABILITY MODELS FOR COMPUTER SCIENCE
PROBABILITY MODELS FOR COMPUTER SCIENCE Original price was: ₹385.Current price is: ₹346.
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PROBABILITY THEORY (TEXTS AND READINGS IN MATHEMATICS, VOLUME 41)
PROBABILITY THEORY (TEXTS AND READINGS IN MATHEMATICS, VOLUME 41) Original price was: ₹950.Current price is: ₹760.

PROBABILITY STATISTICS AND RANDOM SIGNALS

Publisher:
Oxford India
| Author:
CHARLES G BONCELET
| Language:
English
| Format:
Paperback
Publisher:
Oxford India
Author:
CHARLES G BONCELET
Language:
English
Format:
Paperback

Original price was: ₹6,500.Current price is: ₹5,850.

In stock

Ships within:
7-10 Days

In stock

ISBN:
Page Extent:
432

Probability, Statistics, and Random Signals offers a comprehensive treatment of probability, giving equal treatment to discrete and continuous probability. The topic of statistics is presented as the application of probability to data analysis, not as a cookbook of statistical recipes. This student-friendly text features accessible descriptions and highly engaging exercises on topics like gambling, the birthday paradox, and financial decision-making.

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Description

Probability, Statistics, and Random Signals offers a comprehensive treatment of probability, giving equal treatment to discrete and continuous probability. The topic of statistics is presented as the application of probability to data analysis, not as a cookbook of statistical recipes. This student-friendly text features accessible descriptions and highly engaging exercises on topics like gambling, the birthday paradox, and financial decision-making.

About Author

Charles Boncelet has a BS in Applied and Engineering Physics from Cornell University and an MS and PhD in Electrical Engineering and Computer Science from Princeton University. Since 1984, he has been employed at the University of Delaware. He is a Professor in the Electrical & Computer Engineering Department and has a joint appointment in the Computer & Information Science Department. He is currently Associate Chair of Undergraduate Studies in the ECE Department. Boncelet has written approximately 1 research papers in journals and technical conferences on a variety of topics in signal processing, information theory, probability, and algorithms. He regularly teaches courses in probability and statistics, signal processing, and communications. Boncelet is a senior member of the IEEE and a member of SIAM, Eta Kappa Nu, and the Delaware Academy of Science.

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