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Aircraft and Rotorcraft System Identification

models and trim test data. Topics Discussed include: Frequency-response methods that are especially well suited for system identification;

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Time Series In High Dimensions

Factor models have become the most successful tool in the analysis and forecasting of high-dimensional time series. This monograph provides;

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ModelBased Processing

system identification problems, this book teaches readers to identify models quickly and incorporate them into various processing problems;

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Model Identification and Data Analysis

filtering, from black-box model identification to parameter estimation, from spectral analysis to predictive control. Written for graduate;

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Explanatory Model Analysis

Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of methods and tools designed to build better predictive;

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Explanatory Model Analysis

Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of methods and tools designed to build better predictive;

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A Practical Guide to Age-Period-Cohort Analysis

* Gives a comprehensive and in-depth review of models and methods in APC analysis. * Provides an in-depth explanation of the identification;

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A Practical Guide to Age-Period-Cohort Analysis

* Gives a comprehensive and in-depth review of models and methods in APC analysis. * Provides an in-depth explanation of the identification;

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Image Pattern Recognition

task of biometric technologies - human identification by analysis of biometric data - is extended to include the new discipline of biometric;

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Time Series Modeling of Neuroscience Data

statistical identification method of highly nonlinear dynamical systems such as the Hodgkin-Huxley model, Lorenz chaos model, Zetterberg Model, and;

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Data-Driven Solutions to Transportation Problems

analysis, and machine learning. The book examines the state-of-the-art in data-enabled methodologies, technologies and applications;

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Handbook of Mixture Analysis

on mixture models and their applications in scientific domains such as data mining, machine learning, physics, mechanical engineering, signal;

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Statistical Factor Analysis And Related Methods

of factor analysis, this new work represents the first unified treatment of the theory and practice of factor analysis and latent variable models;

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Linear Mixed Models for Longitudinal Data

edition puts major emphasis on exploratory data analysis for all aspects of the model, such as the marginal model, subject-specific profiles, and;

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System Identification

model representation and model properties, the book contains four parts covering: * data-based identification - non-parametric methods for;

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Big Data in Omics and Imaging: Association Analysis

algorithms, generalized low rank models, functional data analysis techniques, deep learning principle and machine learning methods for modern;

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Big Data in Omics and Imaging: Association Analysis

, generalized low rank models, functional data analysis techniques, deep learning principle and machine learning methods for modern association;

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Model Selection and Multimodel Inference

A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. The book;

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Model Selection and Multimodel Inference

A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. The book;

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Data Mining

and trends that are useful for decision making. Data interpretation creates a challenge that is particularly present in system identification;

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Weibull Models

analysis, parameter estimation, model validation, and application; classifies the different models and their properties; intertwines theory and;

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Systems with Hysteresis

. Systems with Hysterisis: Analysis, Identification and Control using the Bouc-Wen Model deals with the analysis, identification and control;

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Application Of Dimensional Analysis In Systems Modeling And

control theory and problems such as identification and model reduction, robust control, adaptive control, and PID control;

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Big Data in Omics and Imaging, Two Volume Set

models, functional data analysis techniques, deep learning principle and machine learning methods for modern association, interaction, pathway;

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Nonlinear System Identification

the identification and analysis of nonlinear dynamic systems in the time, frequency, and spatio-temporal domains. This book is written with an;

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The Koopman Operator in Systems and Control

numerical techniques for observer design, synthesis analysis, stability analysis, parameter estimation, and identification; data-driven techniques;

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The Koopman Operator in Systems and Control

numerical techniques for observer design, synthesis analysis, stability analysis, parameter estimation, and identification; data-driven techniques;

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