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Combined Parametric-Nonparametric Identification of Block-Oriented Systems

This book considers a problem of block-oriented nonlinear dynamic system identification in the presence of random disturbances. This class;

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Nonparametric System Identification

Presenting a thorough overview of the theoretical foundations of non-parametric system identification for nonlinear block-oriented systems;

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Nonparametric System Identification

Presenting a thorough overview of the theoretical foundations of non-parametric system identification for nonlinear block-oriented systems;

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Nonlinear System Identification by Haar Wavelets

fast identification algorithms is the block-oriented approach, in which systems of relatively simple structures are considered. The book;

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3D Parametric and Nonparametric Description of Surface Topography in Manufacturing Processes

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Improved Parametric and Nonparametric Classification Techniques

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Regularized System Identification

-world applications, illustrate the comparative advantages of the new nonparametric approach with respect to classic parametric prediction error;

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Identification Of Physical Systems

Identification of a physical system deals with the problem of identifying its mathematical model using the measured input and output data;

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A Primer on Nonparametric Analysis, Volume I

. The method provides an alternative for such cases and is often nearly as powerful as parametric statistics. Another advantage of nonparametric;

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A Primer on Nonparametric Analysis, Volume II

. The method provides an alternative for such cases and is often nearly as powerful as parametric statistics. Another advantage of nonparametric;

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Nonparametric Tests for Complete Data

This book concerns testing hypotheses in non-parametric models. Classical non-parametric tests (goodness-of-fit, homogeneity, randomness;

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Nonparametric Tests for Censored Data

This book concerns testing hypotheses in non-parametric models. Generalizations of many non-parametric tests to the case of censored and;

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Nonparametric Statistical Methods For Complete and Censored Data

Balancing the cookbook approach of some texts with the more mathematical approach of others, Nonparametric Statistical Methods for;

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Nonparametric Statistical Methods For Complete and Censored Data

Balancing the cookbook approach of some texts with the more mathematical approach of others, Nonparametric Statistical Methods for;

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International Symposia in Economic Theory and Econometrics

selection models, (ii) nonparametric and semi-parametric approaches to qualitative and sample selection models, and (iii) nonlinear estimation;

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Nonlinear Statistical Modeling

selection models, (ii) nonparametric and semi-parametric approaches to qualitative and sample selection models, and (iii) nonlinear estimation;

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Predictive Inference

of approaches to prediction including those based on parametric, nonparametric, and nonstochastic statistical models, it is devoted mainly to predictive;

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Predictive Inference

of approaches to prediction including those based on parametric, nonparametric, and nonstochastic statistical models, it is devoted mainly to predictive;

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Life Distributions: Structure of Nonparametric, Semiparametric, and Parametric Families

This book is devoted to the study of univariate distributions appropriate for the analyses of data k;...

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Nonparametric Smoothing and Lack-of-Fit Tests

An exploration of the use of smoothing methods in testing the fit of parametric regression models. The book reviews many of the existing;

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Local Polynomial Modelling and Its Applications

data well. The use of these nonparametric functions with parametric techniques can yield very powerful data analysis tools. Local polynomial;

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Semiparametic Regression for the Applied Econometrician

endogeneity of parametric and nonparametric effects, as well as heteroskedasticity and autocorrelation in the residuals. Bootstrap procedures are;

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Themes in Modern Econometrics

endogeneity of parametric and nonparametric effects, as well as heteroskedasticity and autocorrelation in the residuals. Bootstrap procedures are;

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Measurement and Analysis of Performance of Industrial Crop Production

systematic sensitivity analysis of the results. On the whole twelve parametric and four nonparametric models were studied. Parametric models are;

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Measurement and Analysis of Performance of Industrial Crop Production

systematic sensitivity analysis of the results. On the whole twelve parametric and four nonparametric models were studied. Parametric models are;

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Nonparametric Models for Longitudinal Data

. Features: * Provides an overview of parametric and semiparametric methods * Shows smoothing methods for unstructured nonparametric models;

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Mathematical Statistics

nonparametric techniques. It covers topics in parametric and nonparametric large-sample estimation theory. The exposition is based on a collection;

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