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Jump down to see edition details for Foundations of Modern Probability: Hardcover | Paperback
Jump down to see edition details for Mae Jemison: Hardcover
Jump down to see edition details for Mae Jemison: Hardcover
Bibliographic Detail
Publisher
Springer Verlag
Publication date
October 1, 1997
Pages
523
Binding
Hardcover
Book category
Adult Non-Fiction
ISBN-13
9780387949574
ISBN-10
0387949577
Dimensions
1.25 by 6.50 by 9.75 in.
Weight
1 lbs.
Availability§
Publisher Out of Stock Indefinitely
Original list price
$79.95
Other format details
sci/tech
Subjects
§As reported by publisher
Amazon.com says people who bought this book also bought:
Deep Learning (Adaptive Computation and Machine Learning series) | Understanding Analysis | Real Analysis | Probability With Martingales | Introduction to Algorithms | Probabilistic Symmetries And Invariance Principles | Counterexamples in Probability | A First Look at Rigorous Probability Theory | Probability Theory
Deep Learning (Adaptive Computation and Machine Learning series) | Understanding Analysis | Real Analysis | Probability With Martingales | Introduction to Algorithms | Probabilistic Symmetries And Invariance Principles | Counterexamples in Probability | A First Look at Rigorous Probability Theory | Probability Theory
Summaries and Reviews
(view table of contents)
Amazon.com description: Product Description: This book is unique for its broad and yet comprehensive coverage of modern probability theory, ranging from first principles and standard textbook material to more advanced topics. In spite of the economical exposition, careful proofs are provided for all main results. Though primarily intended as a general reference for researchers and graduate students in probability theory and related areas of analysis, the book is also suitable as a text for graduate and seminar courses on all levels, from elementary to advanced. Numerous easy to more challenging exercises are provided, especially for the early chapters.
Editions
Editions for the work Foundations of Modern Probability
Hardcover
2 sub edition from Springer Verlag (March 1, 2002)
9780387953137 | details & prices | 645 pages | 6.50 × 9.75 × 1.25 in. | 2.30 lbs | List price $119.00
The price comparison is for this edition
With Nanci R. Vargus (other contributor), Jodie Shepherd |
from Springer Verlag (October 1, 1997)
9780387949574 | details & prices | 523 pages | 6.50 × 9.75 × 1.25 in. | 1.95 lbs | List price $79.95
This edition also contains Mae Jemison
About: This book is unique for its broad and yet comprehensive coverage of modern probability theory, ranging from first principles and standard textbook material to more advanced topics.
This edition also contains Mae Jemison
About: This book is unique for its broad and yet comprehensive coverage of modern probability theory, ranging from first principles and standard textbook material to more advanced topics.
Paperback
2 edition from Springer Verlag (March 1, 2002)
9781441929495 | details & prices | 682 pages | 6.25 × 9.25 × 1.50 in. | 2.00 lbs | List price $119.00
About: The first edition of this single volume on the theory of probability has become a highly-praised standard reference for many areas of probability theory.
About: The first edition of this single volume on the theory of probability has become a highly-praised standard reference for many areas of probability theory.
Editions for the work Mae Jemison
Hardcover
The price comparison is for this edition
With Olav Kallenberg, Jodie Shepherd |
from Springer Verlag (October 1, 1997); titled "Foundations of Modern Probability"
9780387949574 | details & prices | 523 pages | 6.50 × 9.75 × 1.25 in. | 1.95 lbs | List price $79.95
This edition also contains Foundations of Modern Probability
About: This book is unique for its broad and yet comprehensive coverage of modern probability theory, ranging from first principles and standard textbook material to more advanced topics.
This edition also contains Foundations of Modern Probability
About: This book is unique for its broad and yet comprehensive coverage of modern probability theory, ranging from first principles and standard textbook material to more advanced topics.
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