L'édition de cet ISBN n'est malheureusement plus disponible.
Afficher les exemplaires de cette édition ISBN
Frais de port :
EUR 11,72
De Royaume-Uni vers Etats-Unis
Description du livre Etat : New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. N° de réf. du vendeur ria9783319365190_lsuk
Description du livre Soft Cover. Etat : new. N° de réf. du vendeur 9783319365190
Description du livre PF. Etat : New. N° de réf. du vendeur 6666-IUK-9783319365190
Description du livre Etat : New. N° de réf. du vendeur ABLIING23Mar3113020095170
Description du livre Etat : New. N° de réf. du vendeur 28123345-n
Description du livre Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Theauthors present a concise but complete exposition of the mathematical theory of stable convergence and give various applications in different areas of probability theory and mathematical statistics to illustrate the usefulness of this concept.Stable convergence holds in many limit theorems of probability theory and statistics - such as the classical central limit theorem - which are usually formulated in terms of convergence in distribution. Originated by Alfred Rényi, the notion of stable convergence is stronger than the classical weak convergence of probability measures. A variety of methods is described which can be used to establish this stronger stable convergence in many limit theorems which were originally formulated only in terms of weak convergence. Naturally, these stronger limit theorems have new and stronger consequences which should not be missed by neglecting the notion of stable convergence. The presentation will be accessible to researchers and advanced students at the master's level with a solid knowledge of measure theoretic probability. 240 pp. Englisch. N° de réf. du vendeur 9783319365190
Description du livre Etat : New. N° de réf. du vendeur I-9783319365190
Description du livre Etat : New. N° de réf. du vendeur 28123345-n
Description du livre Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Theauthors present a concise but complete exposition of the mathematical theory of stable convergence and give various applications in different areas of probability theory and mathematical statistics to illustrate the usefulness of this concept.Stable convergence holds in many limit theorems of probability theory and statistics - such as the classical central limit theorem - which are usually formulated in terms of convergence in distribution. Originated by Alfred Rényi, the notion of stable convergence is stronger than the classical weak convergence of probability measures. A variety of methods is described which can be used to establish this stronger stable convergence in many limit theorems which were originally formulated only in terms of weak convergence. Naturally, these stronger limit theorems have new and stronger consequences which should not be missed by neglecting the notion of stable convergence. The presentation will be accessible to researchers and advanced students at the master's level with a solid knowledge of measure theoretic probability. N° de réf. du vendeur 9783319365190
Description du livre Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First monograph entirely devoted to the subject of stable convergence Presents a clear and sound introduction to the field Includes examples of successful applications and exercise sets with solutions to illustrate the theoretical resu. N° de réf. du vendeur 385704064