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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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Random Signals

filtering; and statistical estimation - the measurement and analysis of random data to determine the structure and parameter values of probabilistic;

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Radiation Risk Estimation

estimation in models with measurement errors is considered. Efficiency of the methods presented is verified using data from radio-epidemiological;

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Latent Class Analysis of Survey Error

: * Measurement error modeling forcategorical data * The Hui-Walter model and othermethods for two indicators * The EM algorithm and its role;

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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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Parameter Estimation in Reliability and Life Span Models

Offers an applications-oriented treatment of parameter estimation from both complete and censored samples; contains notations, simplified;

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Reduced Order Methods for Modeling and Computational Reduction

in real-time with applications in engineering; data assimilation, geometry registration, and parameter estimation with special attention to real;

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Functional Imaging and Modeling of the Heart

estimation, modeling methods, and biomedical engineering.;

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Handbook of Item Response Theory Modeling

fundamental topics such as assumption testing, parameter estimation, and the assessment of model and person fit. New, emerging, and classic IRT models;

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Handbook of Item Response Theory Modeling

fundamental topics such as assumption testing, parameter estimation, and the assessment of model and person fit. New, emerging, and classic IRT models;

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Advances in Data-Based Approaches for Hydrologic Modeling and Forecasting

popular approaches are selected, with a chapter for each - stochastic methods, parameter estimation techniques, scaling and fractal methods;

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Propagation Channel Characterization, Parameter Estimation, and Modeling for Wireless Communications

extension to multiple-input multiple-output (MIMO) cases. Part two focuses on channel measurements and channel data post-processing. Wideband;

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Statistical Data Analysis

Carlo techniques, statistical tests, and methods of parameter estimation. The last three chapters are somewhat more specialized than those;

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Cyber-Physical Power Systems State Estimation

modeling. It builds on these classic approaches with a suite of data-driven models and non-synchronized measurement tools to reflect current;

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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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Contemporary Psychometrics

relationship between IRT and factor analysis, estimation and testing of these models, and basic measurement issues that are often neglected. The;

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Contemporary Psychometrics

relationship between IRT and factor analysis, estimation and testing of these models, and basic measurement issues that are often neglected. The;

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Mathematical Immunology of Virus Infections

principles of formulating a mathematical model, and an outline on data-driven parameter estimation and model selection. The authors then introduce;

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Nonparametric Function Estimation, Modeling, and Simulation

analysis points, multi-dimensional data analysis, and analysis of remote sensing data, cancer progression, chaos theory, epidemiological modeling;

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Measurement Errors in Surveys

relationship, and the effects of measurement errors on estimation and data analysis.;

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Analysis and Management of Animal Populations

modeling, parameter estimation and decision-theoretic approaches to management in a single, cohesive framework Provides authoritative;

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Survey Measurement and Process Quality

in questionnaire design, data collection, data processing, quality assessment, and effects of errors on estimation and analysis. The book's five sections;

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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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Underwater Acoustics and Ocean Dynamics

ocean dynamics; dynamic modeling in acoustic fields; acoustic tomography and ocean parameter estimation; time reversal and matched field;

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Modelling and Parameter Estimation of Dynamic Systems

networks are finding more and more use in parameter estimation problems. Modelling and Parameter Estimation of Dynamic Systems presents a detailed;

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