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Probability and statistics / Arak M. Mathai (2018)  

Public Titre : Probability and statistics : A course for physicists and engineers Type de document : Guide/Manuel Auteurs : Arak M. Mathai, Auteur ; Hans J. Haubold, Auteur Editeur : Berlin, New York : Walter de Gruyter Année de publication : 2018 Importance : 582 p. Format : 17 x 24 cm ISBN/ISSN/EAN : 978-3-11-056253-8 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques [Termes IGN] densité de probabilité [Termes IGN] distribution, loi de [Termes IGN] échantillonnage (statistique) [Termes IGN] estimation statistique [Termes IGN] régression [Termes IGN] théorie des probabilités [Termes IGN] variable aléatoire Résumé : (éditeur) This textbook offers an introduction to concepts of probability theory, probability distributions relevant in the applied sciences, as well as basics of sampling distributions, estimation and hypothesis testing. As the basis for courses on space and atmospheric science, remote sensing, geographic information systems, meteorology, climate and satellite communications at UN-affiliated regional centers, various applications of the formal theory are discussed as well. These include applied topics such as model building and experiment design. Designed for students in engineering and physics with applications in mind. Note de contenu : Introduction 1- Random phenomena 2- Probability 3- Random variables 4- Expected values 5- Commonly used density functions 6- Commonly used density functions 7- Commonly used density functions 8- Some multivariate distributions 9- Collection of random variables 10- Sampling distributions 11- Estimation 12- Interval estimation 13- Tests of statistical hypotheses 14- Model building and regression 15- Design of experiments and analysis of variance 16- Questions and answers Numéro de notice : 25970 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE Nature : Manuel de cours DOI : 10.1515/9783110562545 En ligne : https://doi.org/10.1515/9783110562545 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96610

Linear Algebra / Arak M. Mathai (2017)  

Public Titre : Linear Algebra : A Course for Physicists and Engineers Type de document : Monographie Auteurs : Arak M. Mathai, Auteur ; Hans J. Haubold, Auteur Editeur : Berlin, New York : Walter de Gruyter Année de publication : 2017 Importance : 450 p. Format : 17 x 24 cm ISBN/ISSN/EAN : 978-3-11-056235-4 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Algèbre [Termes IGN] algèbre linéaire [Termes IGN] arc [Termes IGN] équation différentielle [Termes IGN] espace vectoriel [Termes IGN] matrice [Termes IGN] optimisation (mathématiques) [Termes IGN] statistique mathématique Résumé : (éditeur) In order not to intimidate students by a too abstract approach, this textbook on linear algebra is written to be easy to digest by non-mathematicians. It introduces the concepts of vector spaces and mappings between them without dwelling on statements such as theorems and proofs too much. It is also designed to be self-contained, so no other material is required for an understanding of the topics covered. As the basis for courses on space and atmospheric science, remote sensing, geographic information systems, meteorology, climate and satellite communications at UN-affiliated regional centers, various applications of the formal theory are discussed as well. These include differential equations, statistics, optimization and some engineering-motivated problems in physics. Note de contenu : 1- Vectors 2- Matrices 3- Determinants 4- Eigenvalues and eigenvectors 5- Somme applications of matrices and determinants 6- Matrix series and additional properties of matrices Numéro de notice : 25804 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE Nature : Monographie DOI : 10.1515/9783110562507 En ligne : https://doi.org/10.1515/9783110562507 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96609