Random fields estimation / Alexander G. Ramm.
This book contains a novel theory of random fields estimation of Wiener type, developed originally by the author and presented here. No assumption about the Gaussian or Markovian nature of the fields are made. The theory, constructed entirely within the framework of covariance theory, is based on a...
保存先:
| オンライン･アクセス: | Electronic book from EBSCO |
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| 第一著者: | |
| その他の著者: | |
| フォーマット: | eBook |
| 言語: | English |
| 出版事項: | Hackensack, NJ : World Scientific, ©2005. |
| 主題: |
| 要約: | This book contains a novel theory of random fields estimation of Wiener type, developed originally by the author and presented here. No assumption about the Gaussian or Markovian nature of the fields are made. The theory, constructed entirely within the framework of covariance theory, is based on a detailed analytical study of a new class of multidimensional integral equations basic in estimation theory. This book is suitable for graduate courses in random fields estimation. It can also be used in courses in functional analysis, numerical analysis, integral equations, and scattering theory. |
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| 物理的記述: | 1 online resource (xiii, 373 pages) |
| 書誌: | Includes bibliographical references (pages 363-369) and index. |
| ISBN: | 9812565361 9789812565365 9812703152 9789812703156 1281899143 9781281899149 9786611899141 6611899146 |
| アクセス: | Access limited to authorized users. |