Measure Theory and Probability: Second Edition - Couverture souple

Basu, A. K.

Couverture souple

ISBN 10 : 8120343859 ISBN 13 : 9788120343856

Editeur : PHI Learning, 2010

Synopsis

This compact and well-received book, now in its second edition, is a skilful combination of measure theory and probability. For, in contrast to many books where probability theory is usually developed after a thorough exposure to the theory and techniques of measure and integration, this text develops the Lebesgue theory of measure and integration, using probability theory as the motivating force.<br><br> What distinguishes the text is the illustration of all theorems by examples and applications. A section on Stieltjes integration assists the student in understanding the later text better. <br><br> For easy understanding and presentation, this edition has split some long chapters into smaller ones. For example, old Chapter 3 has been split into Chapters 3 and 9, and old Chapter 11 has been split into Chapters 11, 12 and 13. <br><br> The book is intended for the first-year postgraduate students for their courses in Statistics and Mathematics (pure and applied), computer science, and electrical and industrial engineering. <br><br> <strong>KEY FEATURES : </strong> <br><br> Measure theory and probability are well integrated. <br><br> Exercises are given at the end of each chapter, with solutions provided separately. <br><br> A section is devoted to large sample theory of statistics, and another to large deviation theory (in the Appendix).

Détails de l'édition

• Éditeur: PHI Learning
• Date d'édition: 2010
• Langue: anglais
• ISBN 10: 8120343859
• ISBN 13: 9788120343856
• Reliure: Broché
• Nombre de pages: 240
• Coordonnées du fabricant: non disponible
• Personne responsable: OUTHERE S.A.; http://www.ricercar.be; ; Rue de l'Epargne 29; Bruxelles; 1000; Belgique