Useful as a text for students and a reference for the more advanced mathematician, this book presents a unified treatment of that part of measure theory most useful for its application in modern analysis. Coverage includes sets and classes, measures and outer measures, Haar measure and measure and topology in groups. From the reviews: "Will serve the interested student to find ...(展开全部)

"Probability and Measure Theory, Second Edition" is a text for a graduate-level course in probability that includes essential background topics in analysis. It provides extensive coverage of conditional probability and expectation, strong laws of large numbers, martingale theory, the central limit theorem, ergodic theory, and Brownian motion. It is clear, and is presented in a ...(展开全部)

Edited, introduced and annotated by Cedric Watts, M.A., Ph.D., Emeritus Professor of English, University of Sussex In the hope of saving her brother’s life, should a woman submit to rape? Should the law be respected when its administrator is corrupt? How powerful in the state should religion become? Although Measure for Measure ends like a comedy, with reconciliations, forgiven...(展开全部)

This popular textbook provides a detailed examination of the central assertions of measure theory in n-dimensional Euclidean space, with emphasis upon the roles of Hausdorff measure and capacity in characterizing the fine properties of sets and functions. Measure Theory and Fine Properties of Functions, Second Edition includes many interesting items working mathematical analyst...(展开全部)

Probability and Measure Anniversary Edition This Anniversary Edition of Probability and Measure offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability. Retaining intact the unique approach of the Third Edition , this text interweaves material on probability and measure, so that probability problems generate an inter...(展开全部)