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Optimal Estimation of Dynamic Systems

Optimal Estimation of Dynamic Systems, Second Edition highlights the importance of both physical and numerical modeling in solving dynamics;

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An Engineering Approach to Optimal Control and Estimation Theory

Optimal control and optimal estimation are methods used to estimate unknown variables such as velocity and altitude, and are essential to;

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Estimation of Stochastic Processes with Missing Observations

We propose results of the investigation of the problem of mean square optimal estimation of linear functionals constructed from unobserved;

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Estimates of Stochastic Processes with Stationary Increments and Cointegrated Sequences

time domains. Extending the classical approach applied when the spectral densities of the processes are known, the minimax method of estimation;

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Applied Linear Optimal Control Paperback with CD-ROM

While many books cover the theory of optimal design, few help readers to actually apply it. This book is one of the first to aid readers;

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Applied Optimal Estimation

This is the first book on the optimal estimation that places its major emphasis on practical applications, treating the subject more from;

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Optimal Estimation Of Parameters

capacity estimator. This approach allows the optimal estimation of real-valued parameters, their number and intervals, as well as providing common;

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Linear and Non-Linear System Theory

Linear and Non-Linear System Theory focuses on the basics of linear and non-linear systems, optimal control and optimal estimation with an;

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Applied Mineral Inventory Estimation

Applied Mineral Inventory Estimation presents a comprehensive applied approach to the estimation of mineral resources/reserves with;

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Optimal and Robust Estimation

estimation, under the title Optimal Estimation, used in top universities throughout the world. The time has come for a new edition of this classic;

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Optimal Design

. With respect to the second point there does remain a limiting factor as far as designs that are optimal for parameter estimation are concerned;

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Continuous Time Dynamical Systems

, Continuous Time Dynamical Systems: State Estimation and Optimal Control with Orthogonal Functions, considers different classes of systems with;

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The Construction Of Optimal Stated Choice Experiments

The most comprehensive and applied discussion of stated choice experiment constructions available The Construction of Optimal Stated Choice;

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Stability Regi Of Nonlinear Dynami Syst

This authoritative treatment covers theory, optimal estimation and a range of practical applications. The first book on the subject, and;

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GPS-Based Optimal FIR Filtering of Clock Models

This book addresses novel results in the field of optimal finite impulse response (FIR) estimation and steering of the local clock time;

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A Course on Small Area Estimation and Mixed Models

of small area estimation techniques. The underlying R code is provided in the text and applied to four datasets that mimic data from labor markets;

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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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Mathematical Analysis of Continuum Mechanics and Industrial Applications

mechanics, elasticity, plasticity, pattern dynamics, inverse problems, optimal shape design, material design, and disaster estimation related to;

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New Developments in Applied Statistics

This book presents current research in the field of applied statistics. Topics discussed include the estimation of finite population mean;

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Applied Nonparametric Econometrics

in nonparametric theory ignore the problems faced in applied econometrics. This book helps bridge this gap between applied economists and theoretical;

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Applied Nonparametric Econometrics

in nonparametric theory ignore the problems faced in applied econometrics. This book helps bridge this gap between applied economists and theoretical;

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Optimal State Estimation

practice, coupled with its presentation of recent research results, Optimal State Estimation is strongly recommended for undergraduate and graduate;

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Optimal Experimental Design with R

Experimental design is often overlooked in the literature of applied and mathematical statistics: statistics is taught and understood as;

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Optimal Experimental Design with R

Experimental design is often overlooked in the literature of applied and mathematical statistics: statistics is taught and understood as;

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Probability and Statistics

This book offers an introduction to concepts of probability theory, probability distributions relevant in the applied sciences, as well as;

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Multivariate Density Estimation

in the field of big data. Defining optimal nonparametric estimators, the Second Edition demonstrates the density estimation tools to use when;

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Multisensor Fusion Estimation Theory and Application

parts with 12 chapters. In Part I, the basic framework and methods of multisensor optimal estimation and the basic concepts of Kalman filtering;

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