Synopsis
This book contains about 500 exercises consisting mostly of special cases and examples, second thoughts and alternative arguments, natural extensions, and some novel departures. With a few obvious exceptions they are neither profound nor trivial, and hints and comments are appended to many of them. If they tend to be somewhat inbred, at least they are relevant to the text and should help in its digestion. As a bold venture I have marked a few of them with a * to indicate a "must", although no rigid standard of selection has been used. Some of these are needed in the book, but in any case the reader's study of the text will be more complete after he has tried at least those problems.
"synopsis" may belong to another edition of this title.
About the Author
Kai Lai Chung is a Professor Emeritus at Stanford University and has taught probability theory for 30 years.
From the Back Cover
Since its publication by Academic Press, tens of thousands of students have taken a probability course using this classic textbook. Chung's A Course in Probability Theory, now in its third edition, has sustained its popularity for nearly 35 years. Originally developed from Dr. Chung's course at Stanford University, this book continues to be a successful tool for instructors and students alike.
This third edition offers for the first time a supplement on Measure and Integral. This material has been used to supplement Dr. Chung's course for many years. It will assist students not previously exposed to this material and can also be used as a review. The text is very flexible, offering instructors several different options in creating their syllabus, or in aligning it with current course design. It has been used successfully at over 75 universities since its initial publication.
"About this title" may belong to another edition of this title.
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