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The Theory of Linear Prediction

Linear prediction theory has had a profound impact in the field of digital signal processing. Although the theory dates back to the early;

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Inference and Prediction in Large Dimensions

/ or parameters belong to a large or infinite dimensional space. It develops the theory of statistical prediction, non-parametric estimation by;

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Linear Processes in Function Spaces

general linear processes and statistical prediction. Implementation and numerical applications are also covered. The book assumes knowledge;

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Linear Model Theory

quantities in linear models, as well as other theory upon which much of the statistical methodology associated with linear models is based. The;

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Linear Model Theory

quantities in linear models, as well as other theory upon which much of the statistical methodology associated with linear models is based. The;

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Linear Model Theory

textbook Linear Model Theory - With Examples and Exercises by the same author for the theory behind the exercises.;

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Linear Model Theory

textbook Linear Model Theory - With Examples and Exercises by the same author for the theory behind the exercises.;

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MATLAB Software for the Code Excited Linear Prediction Algorithm

This book describes several modules of the Code Excited Linear Prediction (CELP) algorithm. The authors use the Federal Standard-1016 CELP;

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Efficient Predictive Algorithms for Image Compression

Embedding-based prediction method is investigated for compression of Light Field images based on the HEVC technology. A new linear prediction method;

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Linear Stochastic Systems

Linear Stochastic Systems, originally published in 1988, is today as comprehensive a reference to the theory of linear discrete-time;

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Finite Population Sampling and Inference

Complete coverage of the prediction approach to survey sampling in a single resource Prediction theory has been extremely influential;

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Economic-Mathematical Methods and Models under Uncertainty

-dimensional vector space and the principle piecewise-linear homogeneity of economic process at uncertainty conditions in finite-dimensional vector;

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Economic-Mathematical Methods and Models under Uncertainty

-dimensional vector space and the principle piecewise-linear homogeneity of economic process at uncertainty conditions in finite-dimensional vector;

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Advanced Linear Models

prediction. The authors discuss the application of statistical theories and methodologies to various linear models such as the linear regression;

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Adaptive Filtering Prediction and Control

This unified survey of the theory of adaptive filtering, prediction, and control focuses on linear discrete-time systems and explores the;

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Stochastic Processes & Filtering Theory

, prediction, and smoothing. He presents the mathematical solutions to nonlinear filtering problems, and he specializes the nonlinear theory to linear;

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Plane Answers to Complex Questions

This textbook provides a wide-ranging introduction to the use and theory of linear models for analyzing data. The author's emphasis is on;

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Deterministic Methods in Systems Hydrology: Ihe Delft Lecture Note Series

prediction and flood routing as problems in linear systems theory, clarifying the basic assumptions and evaluating their accuracy; and to review and;

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Deterministic Methods in Systems Hydrology

prediction and flood routing as problems in linear systems theory, clarifying the basic assumptions and evaluating their accuracy; and to review and;

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Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model

This book addresses the prediction of the Water Quality Index (WQI) at Perak River, State of Perak, Malaysia, using a fuzzy multiple linear;

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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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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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Linear Models with R

A Hands-On Way to Learning Data Analysis Part of the core of statistics, linear models are used to make predictions and explain the;

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Regression Analysis and Linear Models

independent variables. It is used in forecasting and prediction. The models used to understand and build relationships, using the linear predictor;

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

This volume contains a selection of invited and contributed papers presented at the International Conference on Linear Statistical;

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Theory and Principles of Smoothing, Filtering and Prediction

A descriptive account based on the theory as well as principles of smoothing, filtering and prediction techniques has been presented;

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