Methods of Small Parameter in Mathematical Biology, Jacek Banasiak; Miros?aw Lachowicz

Автор: Ne-Zheng Sun; Alexander Sun
Название: Model Calibration and Parameter Estimation
ISBN: 1493923226 ISBN-13(EAN): 9781493923229
Издательство: Springer
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Цена: 121110.00 T
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Описание: This three-part book provides a comprehensive and systematic introduction to these challenging topics such as model calibration, parameter estimation, reliability assessment, and data collection design.

Автор: Bernard C. Levy
Название: Principles of Signal Detection and Parameter Estimation
ISBN: 1441945652 ISBN-13(EAN): 9781441945655
Издательство: Springer
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Цена: 69650.00 T
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Описание: This comprehensive text addresses signal processing and communication applications with an emphasis on fundamental principles. It also looks at recent advances in the field such as sequential testing, Gaussian and Robust detection, and detection of Markov Chains.

Автор: Fuente, Angel de la.
Название: Mathematical methods and models for economists
ISBN: 0521585295 ISBN-13(EAN): 9780521585293
Издательство: Cambridge Academ
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Цена: 57030.00 T
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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: Jacek Banasiak; Miros?aw Lachowicz
Название: Methods of Small Parameter in Mathematical Biology
ISBN: 3319381830 ISBN-13(EAN): 9783319381831
Издательство: Springer
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Цена: 79190.00 T
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Описание: The chapters are arranged according to the mathematical complexity of the analysis, from systems of ordinary linear differential equations, through nonlinear ordinary differential equations, to linear and nonlinear partial differential equations.

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: Lopes Dos Santos Paulo Et Al
Название: Linear Parameter-Varying System Identification: New Developments And Trends
ISBN: 9814355445 ISBN-13(EAN): 9789814355445
Издательство: World Scientific Publishing
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Цена: 138330.00 T
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Описание: Reports the Linear Parameter Varying (LPV) system identification. This book contains twelve chapters, focusing on the LPV identification methods for both discrete-time and continuous-time models, using different approaches such as optimization methods for input/output LPV models Identification, set membership methods, and more.

Автор: G. Larry Bretthorst
Название: Bayesian Spectrum Analysis and Parameter Estimation
ISBN: 0387968717 ISBN-13(EAN): 9780387968711
Издательство: Springer
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Цена: 81050.00 T
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Описание: The people who will be interested in this material are physicists, economists, and engineers who have to deal with data on a daily basis; Any person with the equivalent of the mathematics background required for the graduate- level study of physics should be able to follow the material contained in this book, though not without eIfort.

Автор: Jaya P. N. Bishwal
Название: Parameter Estimation in Stochastic Differential Equations
ISBN: 3540744479 ISBN-13(EAN): 9783540744474
Издательство: Springer
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Цена: 41880.00 T
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Описание: Presents the estimation of the unknown parameters in the corresponding continuous models based on continuous and discrete observations and examines extensively maximum likelihood, minimum contrast and Bayesian methods.

Автор: K. Dzhaparidze; Samuel Kotz
Название: Parameter Estimation and Hypothesis Testing in Spectral Analysis of Stationary Time Series
ISBN: 1461293251 ISBN-13(EAN): 9781461293255
Издательство: Springer
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Цена: 111790.00 T
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Описание: of the spectral density I obtained by applying a certain statistical procedure to the observed values of the variables Xl` . , X , usually depends in n a complicated manner on the cyclic frequency). , are approximated by values of a certain sufficiently simple function 1 = 1

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: Hans Georg Bock; Thomas Carraro; Willi J?ger; Stef
Название: Model Based Parameter Estimation
ISBN: 3642440762 ISBN-13(EAN): 9783642440762
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book features papers from a workshop on parameter estimation held in 2009 in Heidelberg. It combines mathematical and numerical methods to apply parameter estimation and optimum experimental design in a range of contexts.

Автор: Dan Tiba
Название: Optimal Control of Nonsmooth Distributed Parameter Systems
ISBN: 3540535241 ISBN-13(EAN): 9783540535249
Издательство: Springer
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Цена: 23250.00 T
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Описание: The book is devoted to the study of distributed control problems governed by various nonsmooth state systems. The main questions investigated include: existence of optimal pairs, first order optimality conditions, state-constrained systems, approximation and discretization, bang-bang and regularity properties for optimal control.