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Nonparametric Function Estimation, Modeling, and Simulation

, and parallel based algorithms. New methods discussed are quick nonparametric density estimation based techniques for resampling and simulation;

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All of Nonparametric Statistics

method, nonparametric regression, density estimation, orthogonal function methods, minimax estimation, nonparametric confidence sets, and;

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Nonparametric Finance

graduate students and finance professionals with a foundation in nonparametric function estimation and the underlying mathematics. Combining;

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Transaction-Level Power Modeling

exploits the existing tools for RTL simulation, design synthesis and SystemC prototyping to provide fast and accurate power estimation using;

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Nonparametric Methods in Statistics with SAS Applications

analysis, density estimation, and resampling methods. The text begins with classical nonparametric hypotheses testing, including the sign;

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Nonparametric Methods In Statistics With Sas Applications

analysis, density estimation, and resampling methods. The text begins with classical nonparametric hypotheses testing, including the sign;

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Modern Simulation And Modeling

estimation Describes the implementation of the score function (SF) method using the NSO simulation package Features 40 illustrations and numerous;

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Modeling Energy Demand using Nonparametric and Extreme Value Theory

Modeling demand and price data using nonparametric methods and extreme value theory provides an up-to-date picture on how extreme events;

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Multiscale Signal Analysis and Modeling

book also presents applications in digital signal processing using sampling theory and techniques from various function spaces, filter design;

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Mathematical Foundations of Infinite-Dimensional Statistical Models

of decision theory. This includes the basic theory of convolution kernel and projection estimation, but also Bayesian nonparametrics and nonparametric;

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Copula Modeling

copulas is that estimation and inference are based on standard maximum likelihood procedures. Thus, copulas can be estimated using desktop;

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Missing and Modified Data in Nonparametric Estimation

of density and hazard rate estimation, nonparametric regression, filtering signals, and time series analysis. All basic types of missing at random;

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Missing and Modified Data in Nonparametric Estimation

of density and hazard rate estimation, nonparametric regression, filtering signals, and time series analysis. All basic types of missing at random;

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Econometric Modeling

, with estimation and inference based on the likelihood function. Substantive issues are always addressed, showing how both statistical and;

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Local Polynomial Modelling and Its Applications

nonparametric methods is to relax assumptions on the form of a regression function and to let data search for a suitable function that describes the;

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Flight Mechanics Modeling and Analysis

Covers flight mechanics, flight simulation, flight testing, flight control, and aeroservoelasticity. Features artificial neural network and;

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Econometric Modelling with Time Series

estimation, nonparametric estimation and estimation by simulation. An important advantage of adopting the principle of maximum likelihood as the;

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Econometric Modelling with Time Series

estimation, nonparametric estimation and estimation by simulation. An important advantage of adopting the principle of maximum likelihood as the;

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Essential Bayesian Models

of Statistics Series, with a focus on key methodologies and applications for Bayesian models and computation. It describes parametric and nonparametric;

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Applied Nonparametric Econometrics

advanced nonparametric methods. The analysis starts with density estimation and motivates the procedures through methods that should be familiar to;

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Applied Nonparametric Econometrics

advanced nonparametric methods. The analysis starts with density estimation and motivates the procedures through methods that should be familiar to;

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Nonparametric Smoothing and Lack-of-Fit Tests

of kernel and Fourier series type, and could be used as the foundation for a graduate level course on nonparametric function estimation. The;

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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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Modeling and Simulation in Engineering

Today, modeling and simulation are widely applied in electrical and mechanical engineering, automotive industry, aeronautics and aerospace;

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Multivariate Density Estimation

Clarifies modern data analysis through nonparametric density estimation for a complete working knowledge of the theory and methods;

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Simulation Modeling & Arena

interval construction, hypothesis testing, and parameter estimation * Additional examples of the simulation clock within discrete event simulation;

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Bayesian Thinking, Modeling and Computation

>Objective Bayesian philosophy Nonparametric Bayesian methodology Simulation based computing techniques Bioinformatics and;

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