An introduction to statistical inference and its applications with R. / Michael W. TROSSET

Public ISBD Titre : An introduction to statistical inference and its applications with R. Type de document : texte imprimé Auteurs : Michael W. TROSSET, Auteur Editeur : CRC Press Année de publication : 2022 ISBN/ISSN/EAN : 978-1-03-247772-5 Langues : Anglais (eng) Catégories : Mathématiques Mathématiques:Mathématiques appliquées et probabilités Mathématiques:Mathématiques appliquées et probabilités :Statistique mathématique Index. décimale : 519.5 Statistique mathématique Résumé : Emphasizing concepts rather than recipes, An Introduction to Statistical Inference and Its Applications with R provides a clear exposition of the methods of statistical inference for students who are comfortable with mathematical notation. Numerous examples, case studies, and exercises are included. R is used to simplify computation, create figures, and draw pseudorandom samples―not to perform entire analyses.After discussing the importance of chance in experimentation, the text develops basic tools of probability. The plug-in principle then provides a transition from populations to samples, motivating a variety of summary statistics and diagnostic techniques. The heart of the text is a careful exposition of point estimation, hypothesis testing, and confidence intervals. The author then explains procedures for 1- and 2-sample location problems, analysis of variance, goodness-of-fit, and correlation and regression. He concludes by discussing the role of simulation in modern statistical inference. Focusing on the assumptions that underlie popular statistical methods, this textbook explains how and why these methods are used to analyze experimental data. An introduction to statistical inference and its applications with R. [texte imprimé] / Michael W. TROSSET, Auteur . - [S.l.] : CRC Press, 2022. ISBN : 978-1-03-247772-5 Langues : Anglais (eng) Catégories : Mathématiques Mathématiques:Mathématiques appliquées et probabilités Mathématiques:Mathématiques appliquées et probabilités :Statistique mathématique Index. décimale : 519.5 Statistique mathématique Résumé : Emphasizing concepts rather than recipes, An Introduction to Statistical Inference and Its Applications with R provides a clear exposition of the methods of statistical inference for students who are comfortable with mathematical notation. Numerous examples, case studies, and exercises are included. R is used to simplify computation, create figures, and draw pseudorandom samples―not to perform entire analyses.After discussing the importance of chance in experimentation, the text develops basic tools of probability. The plug-in principle then provides a transition from populations to samples, motivating a variety of summary statistics and diagnostic techniques. The heart of the text is a careful exposition of point estimation, hypothesis testing, and confidence intervals. The author then explains procedures for 1- and 2-sample location problems, analysis of variance, goodness-of-fit, and correlation and regression. He concludes by discussing the role of simulation in modern statistical inference. Focusing on the assumptions that underlie popular statistical methods, this textbook explains how and why these methods are used to analyze experimental data.

Exemplaires (2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
9781032477725MIT001	519.5/059	Livre	Maths&Informatique	Fonds mathématiques	Disponible
9781032477725MIT002	519.5/059	Livre	Maths&Informatique	Fonds mathématiques	Disponible

Linear Stochastic Control Systems / Guanrong chen

Public ISBD Titre : Linear Stochastic Control Systems Type de document : texte imprimé Auteurs : Guanrong chen, Auteur ; Goong Chen, Auteur Editeur : CRC Press ISBN/ISSN/EAN : 978-0-8493-8075-4 Langues : Anglais (eng) Catégories : Informatique Informatique:Systèmes Index. décimale : 003 Les Systèmes Résumé : Linear Stochastic Control Systems presents a thorough description of the mathematical theory and fundamental principles of linear stochastic control systems. Both continuous-time and discrete-time systems are thoroughly covered. Reviews of the modern probability and random processes theories and the Itô stochastic differential equations are provided. Discrete-time stochastic systems theory, optimal estimation and Kalman filtering, and optimal stochastic control theory are studied in detail. A modern treatment of these same topics for continuous-time stochastic control systems is included. The text is written in an easy-to-understand style, and the reader needs only to have a background of elementary real analysis and linear deterministic systems theory to comprehend the subject matter. This graduate textbook is also suitable for self-study, professional training, and as a handy research reference. Linear Stochastic Control Systems is self-contained and provides a step-by-step development of the theory, with many illustrative examples, exercises, and engineering applications. Linear Stochastic Control Systems [texte imprimé] / Guanrong chen, Auteur ; Goong Chen, Auteur . - [S.l.] : CRC Press, [s.d.]. ISBN : 978-0-8493-8075-4 Langues : Anglais (eng) Catégories : Informatique Informatique:Systèmes Index. décimale : 003 Les Systèmes Résumé : Linear Stochastic Control Systems presents a thorough description of the mathematical theory and fundamental principles of linear stochastic control systems. Both continuous-time and discrete-time systems are thoroughly covered. Reviews of the modern probability and random processes theories and the Itô stochastic differential equations are provided. Discrete-time stochastic systems theory, optimal estimation and Kalman filtering, and optimal stochastic control theory are studied in detail. A modern treatment of these same topics for continuous-time stochastic control systems is included. The text is written in an easy-to-understand style, and the reader needs only to have a background of elementary real analysis and linear deterministic systems theory to comprehend the subject matter. This graduate textbook is also suitable for self-study, professional training, and as a handy research reference. Linear Stochastic Control Systems is self-contained and provides a step-by-step development of the theory, with many illustrative examples, exercises, and engineering applications.

Exemplaires (2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
9780849380754MIT001	003/030	Livre	Maths&Informatique	Fonds informatique	Disponible
9780849380754MIT002	003/030	Livre	Maths&Informatique	Fonds informatique	Disponible

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