Stochastic Processes and Models
Autor David Stirzakeren Limba Engleză Hardback – 20 iul 2005
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 360.00 lei 32-37 zile | |
OUP OXFORD – 21 iul 2005 | 360.00 lei 32-37 zile | |
Hardback (1) | 1267.18 lei 6-8 săpt. | |
OUP OXFORD – 20 iul 2005 | 1267.18 lei 6-8 săpt. |
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Specificații
ISBN-13: 9780198568131
ISBN-10: 0198568134
Pagini: 342
Ilustrații: numerous mathematical equations and line drawings
Dimensiuni: 178 x 254 x 25 mm
Greutate: 0.68 kg
Editura: OUP OXFORD
Colecția OUP Oxford
Locul publicării:Oxford, United Kingdom
ISBN-10: 0198568134
Pagini: 342
Ilustrații: numerous mathematical equations and line drawings
Dimensiuni: 178 x 254 x 25 mm
Greutate: 0.68 kg
Editura: OUP OXFORD
Colecția OUP Oxford
Locul publicării:Oxford, United Kingdom
Recenzii
...the author has indeed produced a very good textbook...the book or any of its chapters can be strongly recommended to any university with a modern probability programme...'
Strongly recommended to students and their teachers
The book has an efficient writing style that is rarely found in mathematical textbooks; it is concise without being terse...Stochastic Processes and Models is an excellent foundational text both for grounding application orientated students in some basic theory and building intuition for those students interested in more advanced study in probability theory.
This excellent introductory book on simple stochastic processes and models is designed for readers familiar with ideas of elementary probability theory.
Strongly recommended to students and their teachers
The book has an efficient writing style that is rarely found in mathematical textbooks; it is concise without being terse...Stochastic Processes and Models is an excellent foundational text both for grounding application orientated students in some basic theory and building intuition for those students interested in more advanced study in probability theory.
This excellent introductory book on simple stochastic processes and models is designed for readers familiar with ideas of elementary probability theory.