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Recursive Identification and Parameter Estimation

Recursive Identification and Parameter Estimation describes a recursive approach to solving system identification and parameter estimation;

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Recursive Identification and Parameter Estimation

Recursive Identification and Parameter Estimation describes a recursive approach to solving system identification and parameter estimation;

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Identification of Continuous-Time Systems

. In this book: Identification of Continuous-Time Systems-Linear and Robust Parameter Estimation, Allamaraju Subrahmanyam and Ganti Prasada Rao;

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Weibull Models

application; and focuses on model identification prior to model parameter estimation.;

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Advanced Process Identification and Control

A presentation of techniques in advanced process modelling, identification, prediction, and parameter estimation for the implementation and;

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Advanced Process Identification and Control

A presentation of techniques in advanced process modelling, identification, prediction, and parameter estimation for the implementation and;

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Modern Practice in Stress and Vibration Analysis

; optimization and design; modelling of damage and fracture; geometric and material nonlinearity; and system identification and parameter estimation.;

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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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Model-Based Processing for Underwater Acoustic Arrays

Kalman filter in its recursive estimator form. Examples of applications to localization, bearing estimation, range estimation and model parameter;

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Radar Remote Sensing for Crop Biophysical Parameter Estimation

of research techniques and their applicability for crop biophysical parameter estimation. It introduces theoretical background of radar scattering;

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Radar Remote Sensing for Crop Biophysical Parameter Estimation

of research techniques and their applicability for crop biophysical parameter estimation. It introduces theoretical background of radar scattering;

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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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Recursive Estimation and Time Series Analysis

in recursive estimation and time series analysis that have occurred over the last quarter century. Also over this time, the CAPTAIN Toolbox for;

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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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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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Applied Parameter Estimation for Chemical Engineers

important optimization methods used for parameter estimation. It focuses on the Gauss-Newton method and its modifications for systems and processes;

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Applied Parameter Estimation for Chemical Engineers

important optimization methods used for parameter estimation. It focuses on the Gauss-Newton method and its modifications for systems and processes;

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Introduction to Time Series Modeling

. Since many important phenomena in statistical analysis are actually time series and the identification of conditional distribution of the;

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Efficient Approaches to Source Localization and Parameter Estimation

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Efficient Approaches to Source Localization and Parameter Estimation

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System Identification

is divided into three basic steps: experimental design and data collection; model structure selection and parameter estimation; and model validation;

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Statistical Estimation for Truncated Exponential Families

focuses on a truncated exponential family of distributions with a natural parameter and truncation parameter as a typical nonregular family. This;

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Power System State Estimation

overview of power system operation and the role of state estimation in overall energy management. It uses an abundance of examples, models, tables;

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Digital Processing of Random Signals

parameter estimation theory for Gaussian processes. Subsequent chapters explore autoregressive parameter estimation and its role in adaptive;

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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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Introduction To Statistical Time Series

analysis Spectral theory and filtering Large sample theory Estimation of the mean and autocorrelations Estimation of the spectrum Parameter;

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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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