This text has as its object an introduction to elements of the
theory of random processes. Strictly speaking, only a good
background in the topics usually associated with a course in
Advanced Calculus (see, for example, the text of Apostol 1]) and
the elements of matrix algebra is required although additional
background is always helpful. N onethe less a strong effort has
been made to keep the required background on the level specified
above. This means that a course based on this book would be
appropriate for a beginning graduate student or an advanced
undergraduate. Previous knowledge of probability theory is not
required since the discussion starts with the basic notions of
probability theory. Chapters II and III are concerned with discrete
probability spaces and elements of the theory of Markov chains
respectively. These two chapters thus deal with probability theory
for finite or countable models. The object is to present some of
the basic ideas and problems of the theory in a discrete context
where difficulties of heavy technique and detailed measure
theoretic discussions do not obscure the ideas and problems."
General
Imprint: |
Springer-Verlag New York
|
Country of origin: |
United States |
Series: |
Graduate Texts in Mathematics, 17 |
Release date: |
December 2011 |
First published: |
1974 |
Authors: |
M. Rosenblatt
|
Dimensions: |
235 x 155 x 13mm (L x W x T) |
Format: |
Paperback
|
Pages: |
228 |
Edition: |
2nd ed. 1974. Softcover reprint of the original 2nd ed. 1974 |
ISBN-13: |
978-1-4612-9854-0 |
Categories: |
Books >
Science & Mathematics >
Mathematics >
Applied mathematics >
General
|
LSN: |
1-4612-9854-7 |
Barcode: |
9781461298540 |
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