Download or read book tude comparative de written by Sylviane Gentil and published by . This book was released on 1972 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book tude comparative de divers m thodes statistiques d identification de syst mes dynamiques written by Sylviane Gentil and published by . This book was released on 1972 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Etude comparative de diverses m thodes statistiques d identification de syst mes dynamiques written by Sylviane Gentil and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Identification and System Parameter Estimation written by Pieter Eykhoff and published by . This book was released on 1973 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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Download or read book Instrumental Variable Methods for System Identification written by T. Söderström and published by Springer. This book was released on 1983-09 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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Download or read book Revue fran aise d automatique informatique recherche op rationnelle written by and published by . This book was released on 1974 with total page 750 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Analyse et tude comparative de m thodes d identification des syst mes repr sentation continue written by and published by . This book was released on 1999 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: Le travail présenté dans cette thèse a pour thème l'identification des systèmes par les modèles continus linéaires, à paramètres invariants au cours du temps. Il concerne plus précisément l'analyse, la mise en ouevre et l'étude comparative de 17 méthodes d'estimation paramétrique d'une représentation continue directement à partir des données d'entrées/sorties échantillonnées. Ce travail est divisé en quatre parties principales. La première présente la problématique de l'identification continue et illustre l'intérêt de cette approche par rapport à l'identification classique de modèles discrêts à l'aide d'exemples simples et didactiques. La deuxième est dédiée à l'analyse des 17 méthodes. Celles-ci sont classées en 3 grandes familles que sont les méthodes des filtres linéaires, des fonctions modulatrices et intégrales. Ces techniques consistent à s'affranchir du problème mié à la dérivation des signaux d'entrées/sorties en leur appliquant des transformations linéaires. La troisième traite des aspects liés à la mise en ouvre numérique ainsi qu'au choix des paramètres de synthèse de chaque approche. Cette étude menée sur des exemples de simulation, a permis non seulement de proposer une méthodologie de choix de ceux-ci, d'exposer clairement les avantages et les limitations de chaque technique, mais aussi de concevoir une série de fonctions formant une boite à outils originale pour le logiciel Matlab. Enfin, la dernière partie présente l'étude comparative des 17 méthodes sur un exemple simulé et sur des signaux réels issus de manipulations de laboratoire. Les conditions de simulation ou d'expérimentation ont été définies afin de mettre en évidence les influences des paramètres suivants : nature du signal d'entrée, valeur de la période d'échantillonnage, rapport signal sur bruit, spectre du bruit, ordre estimé du système. Cette étude aboutit à un tableau de synthèse présentant une classification des 17 approches selon des critères d'ordre quantitatif et qualitatif.

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Download or read book Statistical Inference for Ergodic Diffusion Processes written by Yury A. Kutoyants and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first book in inference for stochastic processes from a statistical, rather than a probabilistic, perspective. It provides a systematic exposition of theoretical results from over ten years of mathematical literature and presents, for the first time in book form, many new techniques and approaches.

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Download or read book Semiparametric Theory and Missing Data written by Anastasios Tsiatis and published by Springer Science & Business Media. This book was released on 2007-01-15 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book summarizes current knowledge regarding the theory of estimation for semiparametric models with missing data, in an organized and comprehensive manner. It starts with the study of semiparametric methods when there are no missing data. The description of the theory of estimation for semiparametric models is both rigorous and intuitive, relying on geometric ideas to reinforce the intuition and understanding of the theory. These methods are then applied to problems with missing, censored, and coarsened data with the goal of deriving estimators that are as robust and efficient as possible.

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