MEASURE THEORY AND PROBABILITY
By: A.K. Basu
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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.
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.
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.
KEY FEATURES :
Measure theory and probability are well integrated.
Exercises are given at the end of each chapter, with solutions provided separately.
A section is devoted to large sample theory of statistics, and another to large deviation theory (in the Appendix).
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