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Parameter Estimation For Scientists And Engineers

aspects of the subject for applied scientists and engineers. This group of users is often not aware of estimators other than least squares;

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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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Fundamentals Of Statistical Signal Processing

, etc. A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing;

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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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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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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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A Numerical Library in C for Scientists and Engineers

, ordinary and partial differential equations, optimization, parameter estimation, and special functions of mathematical physics.The library is based;

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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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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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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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Recursive Identification and Parameter Estimation

identification and parameter estimation, but also demonstrates how to apply the proposed approaches for addressing problems in a range of areas;

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Recursive Identification and Parameter Estimation

identification and parameter estimation, but also demonstrates how to apply the proposed approaches for addressing problems in a range of areas;

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A Numerical Library in Java for Scientists and Engineers

, optimization, parameter estimation, mathematical physics, and other tools that are indispensable to any dynamic research group. The book offers test;

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Applied State Estimation and Association

, and defense industries. Applied state estimation and association is an important area for practicing engineers in aerospace, electronics, and;

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Introduction to Geostatistics

geostatistics books) such as estimating variogram parameters, evaluating the need for a variable mean, parameter estimation and model testing in complex;

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Digital Image Processing

unified approach to regularized parameter estimation.;

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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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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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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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An Introduction to Signal Detection and Estimation

Essential background reading for engineers and scientists working in such fields as communications, control, signal, and image processing;

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Particle Filters for Random Set Models

. This book is ideal for graduate students, researchers, scientists and engineers interested in Bayesian estimation.;

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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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Aircraft Aerodynamic Parameter Estimation from Flight Data Using Neural Partial

system for the online estimation of aircraft parameters from an established neural model. This approach will be relevant for the design of an;

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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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