A Practical Guide to Geometric Regulation for Distributed Parameter Systems, 

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: Cohen,
Название: Parameter Estimation in Reliability and Life Span Models
ISBN: 036740334X ISBN-13(EAN): 9780367403348
Издательство: Taylor&Francis
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Цена: 44910.00 T
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Описание: Offers an applications-oriented treatment of parameter estimation from both complete and censored samples; contains notations, simplified formats for estimates, graphical techniques, and numerous tables and charts allowing users to calculate estimates and analyze sample data quickly and easily.

Автор: Christopher C. Heyde
Название: Quasi-Likelihood And Its Application
ISBN: 1475771045 ISBN-13(EAN): 9781475771046
Издательство: Springer
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Цена: 93160.00 T
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Описание: The first account in book form of all the essential features of the quasi-likelihood methodology, stressing its value as a general purpose inferential tool.

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: 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: 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: Jacek Banasiak; Miros?aw Lachowicz
Название: Methods of Small Parameter in Mathematical Biology
ISBN: 3319051393 ISBN-13(EAN): 9783319051390
Издательство: Springer
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Цена: 102480.00 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: Boguslavskiy, Josif A.
Название: Dynamic systems models
ISBN: 3319040359 ISBN-13(EAN): 9783319040356
Издательство: Springer
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Цена: 104480.00 T
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Описание: Dynamic Systems Models

Автор: Sergey G. Glebov, Oleg M. Kiselev, Nikolai N. Tark
Название: Nonlinear Equations with Small Parameter: Volume I: Oscillations and resonances
ISBN: 3110335549 ISBN-13(EAN): 9783110335545
Издательство: Walter de Gruyter
Цена: 148700.00 T
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Описание: This two-volume monograph presents new methods of construction of global asymptotics of solutions to nonlinear equations with small parameter. These allow one to match the asymptotics of various properties with each other in transition regions and to get unified formulas for the connection of characteristic parameters of approximate solutions. This approach underlies modern asymptotic methods and gives a deep insight into crucial nonlinear phenomena in the natural sciences. These include the outset of chaos in dynamical systems, incipient solitary and shock waves, oscillatory processes in crystals, engineering applications, and quantum systems. Apart from being of independent interest, such approximate solutions serve as a foolproof basis for testing numerical algorithms. This first volume presents asymptotic methods in oscillation and resonance problems described by ordinary differential equations, whereby the second volume will be devoted to applications of asymptotic methods in waves and boundary value problems. Contents Asymptotic expansions and series Asymptotic methods for solving nonlinear equations Nonlinear oscillator in potential well Autoresonances in nonlinear systems Asymptotics for loss of stability Systems of coupled oscillators

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: 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.