Biased Sampling, Over-identified Parameter Problems and Beyond, Jing Qin

Автор: Qin, Jing
Название: Biased sampling, over-identified parameter problems and beyond
ISBN: 9811048541 ISBN-13(EAN): 9789811048548
Издательство: Springer
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Цена: 130430.00 T
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Описание: This book is devoted to biased sampling problems (also called choice-based sampling in Econometrics parlance) and over-identified parameter estimation problems.

Автор: Mohamed Mansour; Silvano Balemi; Werner Tru?l
Название: Robustness of Dynamic Systems with Parameter Uncertainties
ISBN: 3034872704 ISBN-13(EAN): 9783034872706
Издательство: Springer
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Цена: 46570.00 T
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Описание: Robust Control is one of the fastest growing and promising areas of research today. However, this second workshop was restricted to robust control of dynamic systems with parameter uncertainties with the objective to concentrate on some aspects of robust control.

Автор: Wesam Ashour Barbakh; Ying Wu; Colin Fyfe
Название: Non-Standard Parameter Adaptation for Exploratory Data Analysis
ISBN: 3642040047 ISBN-13(EAN): 9783642040047
Издательство: Springer
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Цена: 139750.00 T
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Описание: A review of standard algorithms provides the basis for more complex data mining techniques in this overview of exploratory data analysis. Recent reinforcement learning research is presented, as well as novel methods of parameter adaptation in machine learning.

Автор: Karl-Rudolf Koch
Название: Parameter Estimation and Hypothesis Testing in Linear Models
ISBN: 3642084613 ISBN-13(EAN): 9783642084614
Издательство: Springer
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Цена: 97780.00 T
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Описание: Readers will find here presentations of the Gauss-Markoff model, the analysis of variance, the multivariate model, the model with unknown variance and covariance components and the regression model as well as the mixed model for estimating random parameters.

Автор: Kubilius
Название: Parameter Estimation in Fractional Diffusion Models
ISBN: 331971029X ISBN-13(EAN): 9783319710297
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book is devoted to parameter estimation in diffusion models involving fractional Brownian motion and related processes. In particular, models of financial markets demonstrate various kinds of memory and usually this memory is modeled by fractional Brownian diffusion.

Автор: Corinne Berzin; Alain Latour; Jos? R. Le?n
Название: Inference on the Hurst Parameter and the Variance of Diffusions Driven by Fractional Brownian Motion
ISBN: 3319078747 ISBN-13(EAN): 9783319078748
Издательство: Springer
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Цена: 79190.00 T
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Описание: The models studied are fractional Brownian motions and processes that derive from them through stochastic differential equations.Concerning the proofs of the limit theorems, the "Fourth Moment Theorem" is systematically used, as it produces rapid and helpful proofs that can serve as models for the future.

Автор: Mickens Ronald E
Название: Truly Nonlinear Oscillations: Harmonic Balance, Parameter Expansions, Iteration, And Averaging Methods
ISBN: 981429165X ISBN-13(EAN): 9789814291651
Издательство: World Scientific Publishing
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Цена: 100320.00 T
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Описание: Provides a presentation of many of the fundamental strategies for calculating approximations to the oscillatory solutions of truly nonlinear (TNL) oscillator equations. This volume gives a general overview of the author`s work on harmonic balance, iteration and combined linearization-averaging methods.

Автор: Han-Xiong Li; Chenkun Qi
Название: Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems
ISBN: 9401782547 ISBN-13(EAN): 9789401782548
Издательство: Springer
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Цена: 107130.00 T
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Описание: This volume provides a brief review of the previous work on model reduction and identification of DPS, and develops new spatio-temporal models and their relevant identification approaches. All modeling approaches are applied to industrial thermal processes.

Автор: H.T. Banks
Название: Control and Estimation in Distributed Parameter Systems
ISBN: 0898712971 ISBN-13(EAN): 9780898712971
Издательство: Mare Nostrum (Eurospan)
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Цена: 120390.00 T
Наличие на складе: Невозможна поставка.
Описание: Research in control and estimation of distributed parameter systems encompasses a wide range of applications including both fundamental science and emerging technologies. These expository papers provide substantial stimulus to both young researchers and experienced investigators in control theory.