Estimation theory.
Overview
Works: | 119 works in 44 publications in 44 languages |
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Titles
Probability, random processes, and estimation theory for engineers /
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Lessons in estimation theory for signal processing, communications, and control /
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Maximum entropy econometrics :robust estimation with limited data /
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Seemingly unrelated regression equations models :estimation and inference /
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Maximum entropy econometrics :robust estimation with limited data /
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Methods of moments and semiparametric econometrics for limited dependent and variable models /
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Nonparametric statistics for stochastic processes :estimation and prediction /
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Fundamentals of statistical signal processing.Volume II,Detection theory /
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Maximum penalized likelihood estimation :volume 1, density estimation /
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Nonparametric curve estimation :methods, theory and applications /
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Detection, estimation, and modulation theory.Pt. 1,Detection, estimation, and linear modulation theory
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Detection, estimation, and modulation theory.Pt. 3,Radar-sonar signal processing and gaussian signals in noise
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Detection, estimation, and modulation theory.Detection, estimation, and linear modulation theory /
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Detection, estimation, and modulation theory.Nonlinear modulation theory /
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Optimum array processing.of detection, estimation, and modulation theory /
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Detection, estimation, and modulation theory.Radar-sonar processing and gaussian signals in noise /
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Indefinite-quadratic estimation and control :a unified approach to Hp2s and H [infinity] theories /
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Applied adaptive statistical methods :tests of significance and confidence intervals /
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Multivariate density estimation :theory, practice, and visualization /
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Indefinite-quadratic estimation and controla unified approach to H p2 s and H [infinity] theories /
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Applied adaptive statistical methodstests of significance and confidence intervals /
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Recursive estimation and time-series analysisan introduction for the student and practitioner /
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Functional estimation for density, regression models and processes /
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Maximum likelihood estimation and inference :with examples in R, SAS, and ADMB /
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Recent advances in estimating nonlinear modelswith applications in economics and finance /
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Estimation and testing under sparsityEcole d'Ete de probabilites de Saint-Flour XLV - 2015 /
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Algorithms of estimation for nonlinear systemsa differential and algebraic viewpoint /
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Algorithms and programs of dynamic mixture estimationunified approach to different types of components /
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Uncertainty management for robust industrial design in aeronauticsfindings and best practice collected during UMRIDA, a collaborative research project (2013-2016), funded by the European Union /
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Estimands, estimators and sensitivity analysis in clinical trials /
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Data assimilation fundamentalsa unified formulation of the state and parameter estimation problem /
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