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Inverse Problem Theory and Methods for Model Parameter Estimation

algorithmic details for Monte Carlo methods, least-squares discrete problems, and least-squares problems involving functions. In addition, some;

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Bayesian Deconvolution of Sparse Processes

parameter estimation techniques are presented for expectation and maximization steps. The improvement in performance is demonstrated by experiments;

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Spline Models for Observational Data

This book serves well as an introduction into the more theoretical aspects of the use of spline models. It develops a theory and practice;

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Inverse Problems

contribution to the highly topical field of computational inverse problems. Both mathematical theory and numerical algorithms for model-based inverse;

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Item Response Theory

chapters discussing parameter estimation with multiple groups, parameter estimation for a test with mixed item types, and Markov chain Monte Carlo;

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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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Migration Processes in the Soil and Groundwater Zone (1991)

. Its purpose is to provide solution methods, techniques of parameter estimation, and tools for solving the complex problems of mathematical;

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Migration Processes in the Soil and Groundwater Zone (1991)

. Its purpose is to provide solution methods, techniques of parameter estimation, and tools for solving the complex problems of mathematical;

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Inverse Heat Transfer

of inverse heat transfer protocol, as a parameter estimation approach and as a function estimation approach. These techniques are then applied to the;

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The Ocean Circulation Inverse Problem

estimation, sequential estimators and adjoint/Pontryagin principle methods. This book is intended for use as a graduate level text for students;

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Measurement Data Modeling and Parameter Estimation

Measurement Data Modeling and Parameter Estimation integrates mathematical theory with engineering practice in the field of measurement;

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Measurement Data Modeling and Parameter Estimation

Measurement Data Modeling and Parameter Estimation integrates mathematical theory with engineering practice in the field of measurement;

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Model Based Parameter Estimation

This judicious selection of articles combines mathematical and numerical methods to apply parameter estimation and optimum experimental;

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Principles and Applications of RELAX

The multiple signal demixing and parameter estimation problems that result from the impacts of background noise and interference are issues;

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The Inverse Gaussian Distribution: Theory

properties, methods, and applications of the two-parameter inverse Gaussian family of distribution. It is useful to statisticians and users;

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The Inverse Gaussian Distribution: Theory

properties, methods, and applications of the two-parameter inverse Gaussian family of distribution. It is useful to statisticians and users;

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Mathematical Modeling in Chemical Engineering

asymptotic methods. An overview of solution methods for typical classes of models is given. As final steps in model building, parameter estimation;

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Inverse Heat Transfer

This book introduces the fundamental concepts of inverse heat transfer solutions and their applications for solving problems in convective;

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Parameter Estimation in Fractional Diffusion Models

This book is devoted to parameter estimation in diffusion models involving fractional Brownian motion and related processes. For many years;

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Optimal Design

in practice and it often happens that designs which are optimal for parameter estimation allow no possibility of model validation. For this reason the;

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Reduced Order Methods for Modeling and Computational Reduction

This monograph addresses the state of the art of reduced order methods for modeling and computational reduction of complex parametrized;

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Parameter Estimation and Inverse Problems

Parameter Estimation and Inverse Problems, Third Edition, is structured around a course at New Mexico Tech and is designed to be;

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Methods for Estimation and Inference in Modern Econometrics

inference Estimation of models based on moment restrictions implied by economic theory, including various method-of-moments estimators for;

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Methods for Estimation and Inference in Modern Econometrics

inference Estimation of models based on moment restrictions implied by economic theory, including various method-of-moments estimators for;

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Applied State Estimation and Association

6 focus on solving the problem of estimation with a single sensor observing a single object, and cover such topics as parameter estimation;

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New Trends in Parameter Identification for Mathematical Models

regularization methods in Hilbert and Banach spaces for the stable approximate solution of ill-posed inverse problems, novel methods for parameter;

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Archaeological Survey

- furnishing a comprehensive treatment of prospection, parameter estimation, model building, and detection of spatial structure.;

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