| 书目名称 | Non-negative Matrices and Markov Chains |
| 编辑 | E. Seneta |
| 视频video | http://file.papertrans.cn/668/667134/667134.mp4 |
| 概述 | Offers a photographic reproduction of this still-relevant text, first published in 1981.Continually in demand since first published, the book is offered for the first time in paperback.This edition in |
| 丛书名称 | Springer Series in Statistics |
| 图书封面 |  |
| 描述 | Since its inception by Perron and Frobenius, the theory of non-negative matrices has developed enormously and is now being used and extended in applied fields of study as diverse as probability theory, numerical analysis, demography, mathematical economics, and dynamic programming, while its development is still proceeding rapidly as a branch of pure mathematics in its own right. While there are books which cover this or that aspect of the theory, it is nevertheless not uncommon for workers in one or another branch of its development to be unaware of what is known in other branches, even though there is often formal overlap. One of the purposes of this book is to relate several aspects of the theory, insofar as this is possible. The author hopes that the book will be useful to mathematicians; but in particular to the workers in applied fields, so the mathematics has been kept as simple as could be managed. The mathematical requisites for reading it are: some knowledge of real-variable theory, and matrix theory; and a little knowledge of complex-variable; the emphasis is on real-variable methods. (There is only one part of the book, the second part of 55.5, which is of rather specia |
| 出版日期 | Book 1981Latest edition |
| 关键词 | Markov chain; Markowsche Kette; Matrices; Nichtnegative Matrix; ergodicity; mathematical statistics; stati |
| 版次 | 2 |
| doi | https://doi.org/10.1007/0-387-32792-4 |
| isbn_softcover | 978-0-387-29765-1 |
| isbn_ebook | 978-0-387-32792-1Series ISSN 0172-7397 Series E-ISSN 2197-568X |
| issn_series | 0172-7397 |
| copyright | Springer Science+Business Media New York 1981 |
|Archiver|手机版|小黑屋|
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