Автор: Xiaoguang Luo Название: GPS Stochastic Modelling ISBN: 3662511886 ISBN-13(EAN): 9783662511886 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is a key step towards a realistic GNSS stochastic model and provides good examples of statistical verification and physical interpretation of results. It gives an overview of the GNSS error effects and details the mathematical models.
Автор: Uday B. Desai Название: Modelling and Application of Stochastic Processes ISBN: 1461294002 ISBN-13(EAN): 9781461294009 Издательство: Springer Рейтинг: Цена: 29209.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: (i) the state variables are orthogonal, and (ii) the system matrices for the (n + l)st order realization contain as their "upper" n-th order blocks the system matrices from the n-th order realization (nesting property).
Описание: Initially, the role of snow and ice in the global water balance is assessed and methods of snow measurements are explained. Following a review of snow melt and runoff modelling, the Snowmelt Runoff Model (SRM) demonstrates the merits of remote sensing in snow hydrology by using the satellite data as a direct input variable.
Автор: Bruno And?; Salvatore Graziani Название: Stochastic Resonance ISBN: 1461369754 ISBN-13(EAN): 9781461369752 Издательство: Springer Рейтинг: Цена: 22203.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Stochastic Resonance: Theory and Applications deals with the theory of noise-added systems and in particular with Stochastic Resonance, a quite novel theory that was introduced in the 1980s to provide better understanding of some natural phenomena (e.g.
Автор: Bo Shen; Zidong Wang; Huisheng Shu Название: Nonlinear Stochastic Systems with Incomplete Information ISBN: 1447160002 ISBN-13(EAN): 9781447160007 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Nonlinear Stochastic Processes shows the reader how to deal with the issue of network-induced incomplete information. It presents a unified framework for filtering and control problems in complex communication networks with limited bandwidth.
Автор: J.S. Byrnes; Kathryn A. Hargreaves; Karl Berry Название: Probabilistic and Stochastic Methods in Analysis, with Applications ISBN: 9401052395 ISBN-13(EAN): 9789401052399 Издательство: Springer Рейтинг: Цена: 41925.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Proceedings of the NATO Advanced Study Institute, Il Ciocco, Italy, July 14-27, 1991
Автор: N. Sri Namachchivaya; Y.K. Lin Название: IUTAM Symposium on Nonlinear Stochastic Dynamics ISBN: 9401039852 ISBN-13(EAN): 9789401039857 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Proceedings of the IUTAM Symposium held in Monticello, IL, USA, 26-30 August 2002
Автор: Chee Sun Won; Robert M. Gray Название: Stochastic Image Processing ISBN: 1461346932 ISBN-13(EAN): 9781461346937 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Stochastic Image Processing provides the first thorough treatment of Markov and hidden Markov random fields and their application to image processing.
Автор: Michael B. Abbott; Jens Christian Refsgaard Название: Distributed Hydrological Modelling ISBN: 9401065993 ISBN-13(EAN): 9789401065993 Издательство: Springer Рейтинг: Цена: 26122.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A Coming of Age: Geospatial Analysis and Modelling in the Early Twenty First Century Forty years ago when spatial analysis first emerged as a distinct theme within geography s quantitative revolution, the focus was largely on consistent methods for measuring spatial correlation. The concept of spatial au- correlation took pride of place, mirroring concerns in time-series analysis about similar kinds of dependence known to distort the standard probability theory used to derive appropriate statistics. Early applications of spatial correlation tended to reflect geographical patterns expressed as points. The perspective taken on such analytical thinking was founded on induction, the search for pattern in data with a view to suggesting appropriate hypotheses which could subsequently be tested. In parallel but using very different techniques came the development of a more deductive style of analysis based on modelling and thence simulation. Here the focus was on translating prior theory into forms for generating testable predictions whose outcomes could be compared with observations about some system or phenomenon of interest. In the intervening years, spatial analysis has broadened to embrace both inductive and deductive approaches, often combining both in different mixes for the variety of problems to which it is now applied."
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