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Theorie De Lestimation Ponctuelle Parametrique
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Book Synopsis Asymptotic Statistics by : Reinhard Höpfner
Download or read book Asymptotic Statistics written by Reinhard Höpfner and published by Walter de Gruyter. This book was released on 2014-01-31 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook is devoted to the general asymptotic theory of statistical experiments. Local asymptotics for statistical models in the sense of local asymptotic (mixed) normality or local asymptotic quadraticity make up the core of the book. Numerous examples deal with classical independent and identically distributed models and with stochastic processes. The book can be read in different ways, according to possibly different mathematical preferences of the reader. One reader may focus on the statistical theory, and thus on the chapters about Gaussian shift models, mixed normal and quadratic models, and on local asymptotics where the limit model is a Gaussian shift or a mixed normal or a quadratic experiment (LAN, LAMN, LAQ). Another reader may prefer an introduction to stochastic process models where given statistical results apply, and thus concentrate on subsections or chapters on likelihood ratio processes and some diffusion type models where LAN, LAMN or LAQ occurs. Finally, readers might put together both aspects. The book is suitable for graduate students starting to work in statistics of stochastic processes, as well as for researchers interested in a precise introduction to this area.
Book Synopsis Probabilités et statistiques à l'usage de l'ingénieur by : ZAÏDI Abdelhamid
Download or read book Probabilités et statistiques à l'usage de l'ingénieur written by ZAÏDI Abdelhamid and published by Lavoisier. This book was released on 2012-09-05 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: La théorie des probabilités concerne la modélisation du hasard et le calcul des probabilités, son évaluation. La statistique fournit des outils pour la caractérisation du hasard à partir de son observation et constitue un outil incontournable d'aide à la décision. Ce livre présente la théorie des probabilités et de la statistique généralement enseignée aux ingénieurs. Tout en consacrant plus d'espace aux probabilités, il contient tous les sujets essentiels de la statistique. Il comporte trois parties : la première est une introduction à la théorie des probabilités, la deuxième partie est consacrée à l'étude des processus de Markov à temps discret et continu et aux systèmes de files d'attente, la troisième partie aborde des sujets d'usage courant de la statistique inférentielle : l'estimation, la théorie des tests et la régression linéaire. L'accent est mis sur les applications des résultats théoriques. Des exercices corrigés extraits de divers champs d'application et des programmes de simulation accompagnent chaque chapitre de l'ouvrage. Les algorithmes de simulation sont traduits en langage MATLAB en vertu de la simplicité de la syntaxe de ce dernier et de son accessibilité à bon nombre de scientifiques. Les fonctions prédéfinies dans les boîtes à outils accompagnant le logiciel MATLAB ne sont pas systématiquement utilisées afin de permettre au lecteur de traduire les programmes proposés dans n'importe quel autre langage. Ce manuel s'adresse principalement aux étudiants en génie et en sciences appliquées. Il intéresse également les enseignants, les chercheurs, les ingénieurs (génie logiciel, télécommunication, maintenance, finance) et constitue un support de cours dans les écoles d'ingénieurs et les universités.
Book Synopsis Specifying Statistical Models by : J.P. Florens
Download or read book Specifying Statistical Models written by J.P. Florens and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the last decades. the evolution of theoretical statistics has been marked by a considerable expansion of the number of mathematically and computationaly trac table models. Faced with this inflation. applied statisticians feel more and more un comfortable: they are often hesitant about their traditional (typically parametric) assumptions. such as normal and i. i. d . • ARMA forms for time-series. etc . • but are at the same time afraid of venturing into the jungle of less familiar models. The prob lem of the justification for taking up one model rather than another one is thus a crucial one. and can take different forms. (a) ~~~£ifi~~~iQ~ : Do observations suggest the use of a different model from the one initially proposed (e. g. one which takes account of outliers). or do they render plau sible a choice from among different proposed models (e. g. fixing or not the value of a certai n parameter) ? (b) tlQ~~L~~l!rQ1!iIMHQ~ : How is it possible to compute a "distance" between a given model and a less (or more) sophisticated one. and what is the technical meaning of such a "distance" ? (c) BQe~~~~~~ : To what extent do the qualities of a procedure. well adapted to a "small" model. deteriorate when this model is replaced by a more general one? This question can be considered not only. as usual. in a parametric framework (contamina tion) or in the extension from parametriC to non parametric models but also.
Book Synopsis Théorie de l'estimation ponctuelle paramétrique by : Roudolf Iasnogorodski
Download or read book Théorie de l'estimation ponctuelle paramétrique written by Roudolf Iasnogorodski and published by . This book was released on 2003 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Les statistiques sont une branche des mathématiques qui allient les résultats abstraits et les applications pratiques. Toute observation expérimentale s'exprime sous forme de données numériques ou qualitatives, dont il faut ensuite extraire un maximum d'informations. Pour de nombreux modèles, la Théorie de l'estimation ponctuelle paramétrique permet de le faire, au moyen d'outils de calculs directs. Le présent ouvrage trace un portrait complet de cette théorie pour l'étudiant de deuxième ou troisième cycle en mathématiques. La démarche adoptée s'est voulue originale et intuitive, fondée sur de nombreux exemples et relayée par une rigueur des :énoncés et des démonstrations ; ces dernières sont rédigées en détail. Une large place est consacrée aux modèles différentiables en moyenne quadratique, qui jouent un rôle fondamental en estimation. La théorie asymptotique est abordée du point de vue historique, rendant ainsi I'introduction de certains concepts plus naturelle. Enfin, les modèles localement asymptotiquement normaux sont traités en détail, avec des résultats peu répandus dans les livres classiques.
Book Synopsis Random Iterative Models by : Marie Duflo
Download or read book Random Iterative Models written by Marie Duflo and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: An up-to-date, self-contained review of a wide range of recursive methods for stabilization, identification and control of complex stochastic models (guiding a rocket or a plane, organizing multi-access broadcast channels, self-learning of neural networks ...). Suitable for mathematicians (researchers and also students) and engineers.
Download or read book Survey Methodology written by and published by . This book was released on 2005 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Reproducing Kernel Hilbert Spaces in Probability and Statistics by : Alain Berlinet
Download or read book Reproducing Kernel Hilbert Spaces in Probability and Statistics written by Alain Berlinet and published by Springer Science & Business Media. This book was released on 2011-06-28 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers theoretical questions including the latest extension of the formalism, and computational issues and focuses on some of the more fruitful and promising applications, including statistical signal processing, nonparametric curve estimation, random measures, limit theorems, learning theory and some applications at the fringe between Statistics and Approximation Theory. It is geared to graduate students in Statistics, Mathematics or Engineering, or to scientists with an equivalent level.
Author :Université libre de Bruxelles. Centre d'études de recherche opérationnelle Publisher : ISBN 13 : Total Pages :654 pages Book Rating :4.:/5 (43 download)
Book Synopsis Cahiers du Centre d'études de recherche opérationnelle by : Université libre de Bruxelles. Centre d'études de recherche opérationnelle
Download or read book Cahiers du Centre d'études de recherche opérationnelle written by Université libre de Bruxelles. Centre d'études de recherche opérationnelle and published by . This book was released on 1988 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :Alexandre B. Tsybakov Publisher :Springer Science & Business Media ISBN 13 :9783540405924 Total Pages :196 pages Book Rating :4.4/5 (59 download)
Book Synopsis Introduction à l'estimation non paramétrique by : Alexandre B. Tsybakov
Download or read book Introduction à l'estimation non paramétrique written by Alexandre B. Tsybakov and published by Springer Science & Business Media. This book was released on 2003-09-05 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: La théorie de l'estimation non-paramétrique s'est développée considérablement ces deux dernières décennies, en se fixant pour objectif quelques thèmes principaux, en particulier, l'étude de l'optimalité des estimateurs et l'estimation adaptative. Ces deux thèmes occupent la place centrale dans le livre. Il s'agit de présenter, pour quelques modèles et exemples simples, les idées principales de l'estimation non-paramétrique. Quelques sujets abordés sont: les méthodes de noyaux, de projection et de polynômes locaux, vitesses optimales de convergence, le théorème de Pinsker, les inégalités d'oracle, l'adaptation au sens minimax. Un chapitre est consacré à l'exposition détaillée des différentes techniques de minoration du risque minimax.
Book Synopsis Functional Estimation For Density, Regression Models And Processes (Second Edition) by : Odile Pons
Download or read book Functional Estimation For Density, Regression Models And Processes (Second Edition) written by Odile Pons and published by World Scientific. This book was released on 2023-09-22 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonparametric kernel estimators apply to the statistical analysis of independent or dependent sequences of random variables and for samples of continuous or discrete processes. The optimization of these procedures is based on the choice of a bandwidth that minimizes an estimation error and the weak convergence of the estimators is proved. This book introduces new mathematical results on statistical methods for the density and regression functions presented in the mathematical literature and for functions defining more complex models such as the models for the intensity of point processes, for the drift and variance of auto-regressive diffusions and the single-index regression models.This second edition presents minimax properties with Lp risks, for a real p larger than one, and optimal convergence results for new kernel estimators of function defining processes: models for multidimensional variables, periodic intensities, estimators of the distribution functions of censored and truncated variables, estimation in frailty models, estimators for time dependent diffusions, for spatial diffusions and for diffusions with stochastic volatility.
Book Synopsis Functional Estimation For Density, Regression Models And Processes by : Odile Pons
Download or read book Functional Estimation For Density, Regression Models And Processes written by Odile Pons and published by World Scientific. This book was released on 2011-03-21 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a unified approach on nonparametric estimators for models of independent observations, jump processes and continuous processes. New estimators are defined and their limiting behavior is studied. From a practical point of view, the book expounds on the construction of estimators for functionals of processes and densities, and provides asymptotic expansions and optimality properties from smooth estimators.It also presents new regular estimators for functionals of processes, compares histogram and kernel estimators, compares several new estimators for single-index models, and it examines the weak convergence of the estimators.
Book Synopsis Statistics Subject Indexes from Mathematical Reviews by : American Mathematical Society
Download or read book Statistics Subject Indexes from Mathematical Reviews written by American Mathematical Society and published by . This book was released on 1987 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Lectures on the Nearest Neighbor Method by : Gérard Biau
Download or read book Lectures on the Nearest Neighbor Method written by Gérard Biau and published by Springer. This book was released on 2015-12-08 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in one self-contained volume, this book systematically covers key statistical, probabilistic, combinatorial and geometric ideas for understanding, analyzing and developing nearest neighbor methods. Gérard Biau is a professor at Université Pierre et Marie Curie (Paris). Luc Devroye is a professor at the School of Computer Science at McGill University (Montreal).
Book Synopsis Multivariate Methods in Epidemiology by : Theodore R. Holford
Download or read book Multivariate Methods in Epidemiology written by Theodore R. Holford and published by Oxford University Press. This book was released on 2002-05-30 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: The basis for much of medical public health practice comes from epidemiological research. This text describes current statistical tools that are used to analyze the association between possible risk factors and the actual risk of disease. Beginning with a broad conceptual framework on the disease process, it describes commonly used techniques for analyzing proportions and disease rates. These are then extended to model fitting, and the common threads of logic that bind the two analytic strategies together are revealed. Each chapter provides a descriptive rationale for the method, a worked example using data from a published study, and an exercise that allows the reader to practice the technique. Each chapter also includes an appendix that provides further details on the theoretical underpinnings of the method. Among the topics covered are Mantel-Haenszel methods, rates, survival analysis, logistic regression, and generalized linear models. Methods for incorporating aspects of study design, such as matching, into the analysis are discussed, and guidance is given for determining the power or the sample size requirements of a study. This text will give readers a foundation in applied statistics and the concepts of model fitting to develop skills in the analysis of epidemiological data.
Book Synopsis Judging Educational Research Based on Experiments and Surveys by : Richard M. Wolf
Download or read book Judging Educational Research Based on Experiments and Surveys written by Richard M. Wolf and published by UNESCO. This book was released on 1993 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides systematic guidelines to assist educational planners in selecting high quality educational research that can be relied upon for decision-making purposes. It focuses on research that employs either experimental or survey research methodologies.
Book Synopsis A Posteriori Error Estimation in Finite Element Analysis by : Mark Ainsworth
Download or read book A Posteriori Error Estimation in Finite Element Analysis written by Mark Ainsworth and published by John Wiley & Sons. This book was released on 2011-09-28 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: An up-to-date, one-stop reference-complete with applications This volume presents the most up-to-date information available on aposteriori error estimation for finite element approximation inmechanics and mathematics. It emphasizes methods for ellipticboundary value problems and includes applications to incompressibleflow and nonlinear problems. Recent years have seen an explosion in the study of a posteriorierror estimators due to their remarkable influence on improvingboth accuracy and reliability in scientific computing. In an effortto provide an accessible source, the authors have sought to presentkey ideas and common principles on a sound mathematicalfooting. Topics covered in this timely reference include: * Implicit and explicit a posteriori error estimators * Recovery-based error estimators * Estimators, indicators, and hierarchic bases * The equilibrated residual method * Methodology for the comparison of estimators * Estimation of errors in quantities of interest A Posteriori Error Estimation in Finite Element Analysis is a lucidand convenient resource for researchers in almost any field offinite element methods, and for applied mathematicians andengineers who have an interest in error estimation and/or finiteelements.
Book Synopsis Quantum Mechanics, Volume 3 by : Claude Cohen-Tannoudji
Download or read book Quantum Mechanics, Volume 3 written by Claude Cohen-Tannoudji and published by John Wiley & Sons. This book was released on 2019-12-16 with total page 790 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new, third volume of Cohen-Tannoudji's groundbreaking textbook covers advanced topics of quantum mechanics such as uncorrelated and correlated identical particles, the quantum theory of the electromagnetic field, absorption, emission and scattering of photons by atoms, and quantum entanglement. Written in a didactically unrivalled manner, the textbook explains the fundamental concepts in seven chapters which are elaborated in accompanying complements that provide more detailed discussions, examples and applications. * Completing the success story: the third and final volume of the quantum mechanics textbook written by 1997 Nobel laureate Claude Cohen-Tannoudji and his colleagues Bernard Diu and Franck Laloë * As easily comprehensible as possible: all steps of the physical background and its mathematical representation are spelled out explicitly * Comprehensive: in addition to the fundamentals themselves, the books comes with a wealth of elaborately explained examples and applications Claude Cohen-Tannoudji was a researcher at the Kastler-Brossel laboratory of the Ecole Normale Supérieure in Paris where he also studied and received his PhD in 1962. In 1973 he became Professor of atomic and molecular physics at the Collège des France. His main research interests were optical pumping, quantum optics and atom-photon interactions. In 1997, Claude Cohen-Tannoudji, together with Steven Chu and William D. Phillips, was awarded the Nobel Prize in Physics for his research on laser cooling and trapping of neutral atoms. Bernard Diu was Professor at the Denis Diderot University (Paris VII). He was engaged in research at the Laboratory of Theoretical Physics and High Energy where his focus was on strong interactions physics and statistical mechanics. Franck Laloë was a researcher at the Kastler-Brossel laboratory of the Ecole Normale Supérieure in Paris. His first assignment was with the University of Paris VI before he was appointed to the CNRS, the French National Research Center. His research was focused on optical pumping, statistical mechanics of quantum gases, musical acoustics and the foundations of quantum mechanics.
