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Prediction and Regulation by Linear Least-Square Methods

Prediction and Regulation by Linear Least-Square Methods was first published in 1963. This revised second edition was issued in 1983;

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Advanced Linear Algebra for Engineers With Matlab

Arming readers with both theoretical and practical knowledge, Advanced Linear Algebra for Engineers with MATLAB (R) provides real-life;

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Linear Algebra, Matrix Theory and Applications

Linear Algebra, Matrix Theory and Applications gives insights into the various aspects related to the matrices including the concepts on;

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Two Dimensional Integral Equations

of weighted residual methods (collocation method, sub-domain method, least square method and Galerkin method) and two different types of Iterative;

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Efficient Predictive Algorithms for Image Compression

compression of depth maps, which combines intra-directional prediction, with flexible block partitioning and linear residue fitting. New approaches;

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The Multiple Facets of Partial Least Squares and Related Methods

This volume presents state of the art theories, new developments, and important applications of Partial Least Square (PLS) methods. The;

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The Multiple Facets of Partial Least Squares Methods

This volume presents state of the art theories, new developments, and important applications of Partial Least Square (PLS) methods. The;

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Automatic Gain Control

This resource features discussion on static and dynamic regulation, loop rise time, automatic gain control design verification, square law;

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Advanced Signal Processing

principle, the least squares problem, minimum mean square estimation, and the Wiener-Hopf equation. Signal Analysis: A Concise Guide clearly;

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Econometrics

, regressions, equations and diagrams to illustrate the analysis.Examine a linear and multiple regression model, ordinary least;

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Linear Model Theory

least squares, effects of model misspecification, and most especially prediction than in many other textbooks on linear models. This book;

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Linear Model Theory

least squares, effects of model misspecification, and most especially prediction than in many other textbooks on linear models. This book;

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Active Radar Cross Section Reduction

platforms. It begins with the fundamentals of RCS, followed by the dielectric, magnetic and metamaterials parameters of the constituent materials;

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MATLAB Software for the Code Excited Linear Prediction Algorithm

MATLAB (R) software to describe in detail several functions and parameter computations associated with analysis-by-synthesis linear prediction;

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Computational Methods of Linear Algebra

This book presents methods for the computational solution of some important problems of linear algebra: linear systems, linear least;

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Computational Methods of Linear Algebra

This book presents methods for the computational solution of some important problems of linear algebra: linear systems, linear least;

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Mathematical Methods for Physics and Engineering

of linear equations are treated in detail. The presentation of probability has been reorganized and greatly extended, and includes all physically;

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Weighted Residual Methods

Weighted Residual Methods for Engineering Problems: Least Square, Collocation, and Galerkin introduces a range of WRMs, and provides;

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Developing VO2max Prediction Models Using Machine Learning Methods

The purpose of this work is to develop VO2max prediction models by using non-exercise, submaximal and hybrid variables by using Support;

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Numerical Linear Algebra: An Introduction

standard material such as direct methods for solving linear systems and least-squares problems, error, stability and conditioning, basic iterative;

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Numerical Linear Algebra

standard material such as direct methods for solving linear systems and least-squares problems, error, stability and conditioning, basic iterative;

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Estimation of Stochastic Processes with Missing Observations

for computing values of the mean-square errors and the spectral characteristics of the optimal linear estimates of functionals are derived;

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Numerical Analysis with Algorithms and Programming

by simpler computational building blocks, such as polynomials and splines The solution of systems of linear equations and triangularization;

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A First Course in Linear Models and Design of Experiments

This textbook presents the basic concepts of linear models, design and analysis of experiments. With the rigorous treatment of topics and;

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Proceedings of the International Conference on Linear Statistical Inference Linstat '93

Inference LINSTAT '93, held in Poznan, Poland, from May 31 to June 4, 1993. Topics treated include estimation, prediction and testing in linear;

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Control Theory for Linear Systems

decoupling, and tracking and regulation, to linear quadratic regulation, H2 and H-infinity control, and robust stabilization. Each chapter of the;

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Matrix Perturbation Theory

scientists, and engineers. In particular, the authors cover perturbation theory of linear systems and least square problems, the eignevalue problem;

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