Hidden Markov Models, Robert J Elliott; Lakhdar Aggoun; John B. Moore
Автор: Nachtsheim;Neter;Kutner Название: Applied Linear Statistical Models with Student CD ISBN: 0071122214 ISBN-13(EAN): 9780071122214 Издательство: McGraw-Hill Рейтинг: Цена: 9265.00 р. Наличие на складе: Поставка под заказ.
Описание: "Applied Linear Statistical Models", 5e, is the long established leading authoritative text and reference on statistical modeling. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Notes" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in virtually any college. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.
Описание: Provides a comprehensive treatment of all the techniques in nonlinear dynamics together with C++, Java and SymbolicC++ implementations. This book not only covers the theoretical aspects of the topics but also provides the practical tools. To understand the material, it includes more than 100 worked out examples and 150 ready to run programs.
Автор: Rogemar S. Mamon; Robert J Elliott Название: Hidden Markov Models in Finance ISBN: 1441943803 ISBN-13(EAN): 9781441943804 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Hidden Markov Models in Finance offers the first systematic application of these methods to specialized financial problems: option pricing, credit risk modeling, volatility estimation and more.
Автор: Ching Wai-Ki, Ng Michael K. Название: Markov Chains: Models, Algorithms and Applications ISBN: 0387293353 ISBN-13(EAN): 9780387293356 Издательство: Springer Рейтинг: Цена: 13270.00 р. Наличие на складе: Поставка под заказ.
Описание: Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems over time. This title outlines developments of Markov chain models for modeling queueing sequences, Internet, re-manufacturing systems, reverse logistics, inventory systems, bio-informatics, and many other practical systems.
Автор: Fuente, Angel de la. Название: Mathematical methods and models for economists ISBN: 0521585295 ISBN-13(EAN): 9780521585293 Издательство: Cambridge Academ Рейтинг: Цена: 8554.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is intended as a textbook for a first-year PhD course in mathematics for economists and as a reference for graduate students in economics. It provides a self-contained, rigorous treatment of most of the concepts and techniques required to follow the standard first-year theory sequence in micro and macroeconomics.
Автор: Olivier Capp?; Eric Moulines; Tobias Ryden Название: Inference in Hidden Markov Models ISBN: 1441923195 ISBN-13(EAN): 9781441923196 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is a comprehensive treatment of inference for hidden Markov models, including both algorithms and statistical theory. The book builds on recent developments, both at the foundational level and the computational level, to present a self-contained view.
Описание: This book offers cutting-edge research developments and applications of Hidden Markov Models (HMMs) to finance and closely allied fields. It will help readers to use HMMs to accurately and efficiently capture many of the processes in the financial market.
Автор: Zucchini Название: Hidden Markov Models for Time Series ISBN: 1482253836 ISBN-13(EAN): 9781482253832 Издательство: Taylor&Francis Рейтинг: Цена: 14086.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Hidden Markov Models (HMMs) remains a vibrant area of research in statistics, with many new applications appearing since publication of the first edition.
Автор: Jia Li; Robert M. Gray Название: Image Segmentation and Compression Using Hidden Markov Models ISBN: 0792378997 ISBN-13(EAN): 9780792378990 Издательство: Springer Рейтинг: Цена: 26546.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Image segmentation is a process for dividing an image into its constituent parts. This volume presents an algorithm that models the statistical dependence among image blocks by two dimensional hidden Markov models (HMMs). It is useful for researchers and engineers working in statistical signal processing or image processing.
Автор: Jia Li; Robert M. Gray Название: Image Segmentation and Compression Using Hidden Markov Models ISBN: 1461370272 ISBN-13(EAN): 9781461370277 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Conventional block-based segmentation algorithms classify each block separately, assuming independence of feature vectors. Image Segmentation and Compression Using Hidden Markov Models presents a new algorithm that models the statistical dependence among image blocks by two dimensional hidden Markov models (HMMs).
Автор: Rogemar S. Mamon; Robert J. Elliott Название: Hidden Markov Models in Finance ISBN: 1489979670 ISBN-13(EAN): 9781489979674 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers cutting-edge research developments and applications of Hidden Markov Models (HMMs) to finance and closely allied fields. It will help readers to use HMMs to accurately and efficiently capture many of the processes in the financial market.
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