Algorithms and Programs of Dynamic Mixture Estimation, Ivan Nagy; Evgenia Suzdaleva

Автор: Addisson Salazar
Название: On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling
ISBN: 3642428754 ISBN-13(EAN): 9783642428753
Издательство: Springer
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Цена: 14365.00 р.
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Описание: This outstanding review of the literature on the core theoretical foundations of applied statistical pattern recognition defines a novel mode of pattern recognition and classification, based on independent component analysis mixture modeling (ICAMM).

Автор: Peter Schlattmann
Название: Medical Applications of Finite Mixture Models
ISBN: 3642088163 ISBN-13(EAN): 9783642088162
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book shows how to model heterogeneity in medical research with covariate adjusted finite mixture models. The areas of application include epidemiology, gene expression data, disease mapping, meta-analysis, neurophysiology and pharmacology.

Автор: Sylvia Fr?hwirth-Schnatter
Название: Finite Mixture and Markov Switching Models
ISBN: 144192194X ISBN-13(EAN): 9781441921949
Издательство: Springer
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Цена: 21661.00 р.
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Описание: This book is the first to offer a systematic presentation of the Bayesian perspective of finite mixture modeling, showing how finite mixture and Markov switching models are formulated, what structures they imply on the data, their potential uses, and how they are estimated.

Автор: Tatarinova Tatiana, Schumitzky Alan
Название: Nonlinear Mixture Models: A Bayesian Approach
ISBN: 1848167563 ISBN-13(EAN): 9781848167568
Издательство: World Scientific Publishing
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Цена: 14256.00 р.
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Описание: Provides an introduction to the important subject of nonlinear mixture models from a Bayesian perspective. This title contains background material, a brief description of Markov chain theory, as well as novel algorithms and their applications.

Автор: B.K. Sinha; N.K. Mandal; Manisha Pal; P. Das
Название: Optimal Mixture Experiments
ISBN: 8132217853 ISBN-13(EAN): 9788132217855
Издательство: Springer
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Цена: 13275.00 р.
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Описание: Opening with the basics of regression designs, this book reviews linear and quadratic Scheffe mixture models, applies the Darroch-Waller three-component quadratic mixture model to the general q-component model, discusses non-standard mixture designs and more.

Автор: Dewar
Название: Computer Modelling of Concrete Mixtures
ISBN: 0419230203 ISBN-13(EAN): 9780419230205
Издательство: Taylor&Francis
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Цена: 33686.00 р.
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Описание: This book discusses how computer-based systems can help predict the composition of trial mixes. The author has spent 20 years developing systems which can save both time and money.

Автор: Cornell
Название: A Primer on Experiments with Mixtures
ISBN: 0470643382 ISBN-13(EAN): 9780470643389
Издательство: Wiley
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Цена: 17416.00 р.
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Описание: The concise yet authoritative presentation of key techniques for basic mixtures experiments Inspired by the author`s bestselling advanced book on the topic, A Primer on Experiments with Mixtures provides an introductory presentation of the key principles behind experimenting with mixtures.

Автор: Rafael Mart?nez-Guerra; Christopher Diego Cruz-Anc
Название: Algorithms of Estimation for Nonlinear Systems
ISBN: 3319530399 ISBN-13(EAN): 9783319530390
Издательство: Springer
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Цена: 13974.00 р.
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Описание:

Preface.- Analysis of input-affine nonlinear processes.- Basic Definitions of Differential Algebras.- Algebraic Observability Condition for Nonlinear systems and External behaviour.- Generalized Observability Canonical Forms.- Observer Synthesis.- Tracking and Stabilization Problems.- Parametric and State Estimation.- Observer synthesis for a more general class of Nonlinear Systems.- A Separation Principle for Nonlinear Systems.- Some uncommon observers with interesting applications.- Appendix A Singularity Treatment.- Appendix B Some properties for Nonlinear Systems.