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From the Publisher"I believe this to be a great book for self-study as well as for course use. The book is ideal for future probabilists as well as statisticians, and can serve as a good introduction for mathematicians interested in measure theory."
"...it succeeds in handling the technicalities of measure theory, which is traditionally regarded as dry and inaccessible to students (and, I think, the most difficult material that I have taught at undergraduate level) with a light touch. The book is eminently suitable for a course (or two) for good final year or first-year post-graduate students and has the potential to revitalize the way that measure theory is taught. If it does, the author will deserve our thanks indeed."
Journal of the Royal Statistical Society
"This book will remain a good reference on the subject for years to come."
Peter Eichelsbacher, Mathematical Reviews
"The chapters contain nicely written short blocks of theory followed by good and meaningful exercises, solutions of which are available on the author's home page. This feature makes the book an attractive starting point for an undergraduate course on measure and integration theory. The book is well structured and the presentation is clear; arguments and proofs are detailed and easy to follow."
Filip Lindskog, Journal of the American Statistical Association