Random fields and geometry / R. J. Adler, Jonathan E. Taylor.
Series: Springer monographs in mathematics: Publisher: [S.l.] : Springer, 2007Description: 472 p. ; 24 cmISBN: 0387481125; 9780387481128DDC classification: 519.23 Summary: This monograph is devoted to a completely new approach to geometric problems arising in the study of random fields. The groundbreaking material in Part III, for which the background is carefully prepared in Parts I and II, is of both theoretical and practical importance, and striking in the way in which problems arising in geometry and probability are beautifully intertwined. "Random Fields and Geometry" will be useful for probabilists and statisticians, and for theoretical and applied mathematicians who wish to learn about new relationships between geometry and probability. It will be helpful for graduate students in a classroom setting, or for self-study. Finally, this text will serve as a basic reference for all those interested in the companion volume of the applications of the theory. �| Item type | Current location | Home library | Collection | Call number | URL | Status | Date due | Barcode | Item holds |
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Book
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Military College of Signals (MCS) | Military College of Signals (MCS) | NFIC | 519.2 ADL (Browse shelf) | Link to resource | Available | MCSEB-3231 |
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| 519 VER Advanced engineering mathematics / | 519.2 Introduction to stochastic processes /(E BOOK) | 519.2 ADL Random fields and geometry(E-BOOK) | 519.2 ADL Random fields and geometry / | 519.2 ALD Introduction to probability and statistics / | 519.2 BOV Statistical Methods for Forecasting (E-BOOK) | 519.2 GRE Kalman filtering-(E-BOOK) |
This monograph is devoted to a completely new approach to geometric problems arising in the study of random fields. The groundbreaking material in Part III, for which the background is carefully prepared in Parts I and II, is of both theoretical and practical importance, and striking in the way in which problems arising in geometry and probability are beautifully intertwined. "Random Fields and Geometry" will be useful for probabilists and statisticians, and for theoretical and applied mathematicians who wish to learn about new relationships between geometry and probability. It will be helpful for graduate students in a classroom setting, or for self-study. Finally, this text will serve as a basic reference for all those interested in the companion volume of the applications of the theory. �
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