Probability, Random Variables, and Stochastic Processes / Athanasios Papoulis and S. Unnikrishna Pillai
By: Papoulis, Athanasios
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Contributor(s): Pillai, S. Unnikrishna.
Publisher: New Delhi Mc Graw Hill Education 2018Edition: 4th ed.Description: x,852p.ISBN: 9780070486584.Subject(s): Probabilities; Random Variables; Stochastic ProcessesDDC classification: 519 PAP Online resources: Click here to access online
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VIT-AP General Stacks | Reference | 519 PAP (Browse shelf) | Not for loan | MATH | 012472 | ||
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School of Advanced Studies-Maths Section General Stacks | 519 PAP (Browse shelf) | In transit from VIT-AP to School of Advanced Studies-Maths Section since 2024-01-28 | MATH | 011478 | |||
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VIT-AP General Stacks | 519 PAP (Browse shelf) | Available | MATH | 010137 | |||
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VIT-AP General Stacks | 519 PAP (Browse shelf) | Checked out to Guduru Jahnavi Chowdary (21PHD7117) | MATH | 2024-04-30 | 010141 | ||
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VIT-AP General Stacks | 519 PAP (Browse shelf) | Available | MATH | 010142 | |||
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VIT-AP General Stacks | 519 PAP (Browse shelf) | Available | MATH | 010143 | |||
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VIT-AP General Stacks | 519 PAP (Browse shelf) | Checked out to Sunkesula Moulana Abdul Kalam Azad (70134) | MATH | 2022-08-08 | 010144 | ||
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VIT-AP General Stacks | 519 PAP (Browse shelf) | Available | MATH | 010145 | |||
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VIT-AP General Stacks | 519 PAP (Browse shelf) | Checked out to Naga Lakshmi Kalyani Movva (18PHD7024) | MATH | 2022-03-14 | 07084 | ||
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VIT-AP General Stacks | 519 PAP (Browse shelf) | Available | MATH | 07086 | |||
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VIT-AP General Stacks | 519 PAP (Browse shelf) | Available | MATH | 07085 | |||
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VIT-AP General Stacks | Reference | 519 PAP (Browse shelf) | Not for loan | MATH | 07081 | ||
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VIT-AP General Stacks | 519 PAP (Browse shelf) | Available | MATH | 07082 |
It includes index
The fourth edition of Probability, Random Variables and Stochastic Processes has been updated significantly from the previous edition, and it now includes co-author S. Unnikrishna Pillai of Polytechnic University. The book is intended for a senior/graduate level course in probability and is aimed at students in electrical engineering, math, and physics departments. The authors' approach is to develop the subject of probability theory and stochastic processes as a deductive discipline and to illustrate the theory with basic applications of engineering interest. Approximately 1/3 of the text is new material--this material maintains the style and spirit of previous editions. In order to bridge the gap between concepts and applications, a number of additional examples have been added for further clarity, as well as several new topics.
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