Real Analysis (Classic Version)
Real Analysis (Classic Version)

Author: Halsey Royden

Publisher: Pearson Modern Classics for Advanced Mathematics Series

Published: 2017-02-13

Total Pages: 0

ISBN-13: 9780134689494

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This text is designed for graduate-level courses in real analysis. Real Analysis, 4th Edition, covers the basic material that every graduate student should know in the classical theory of functions of a real variable, measure and integration theory, and some of the more important and elementary topics in general topology and normed linear space theory. This text assumes a general background in undergraduate mathematics and familiarity with the material covered in an undergraduate course on the fundamental concepts of analysis.

Air University Au-1 Style and Author Guide
Air University Au-1 Style and Author Guide

Author: Air University Staff

Publisher:

Published: 2005-04

Total Pages: 234

ISBN-13: 9781780399744

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The Style Guide, part one of this publication, provides guidance to Air University's community of writers. It offers a coherent, consistent stylistic base for writing and editing. The Author Guide part two of this publication, offers simple, concise instructions to writers who wish to submit a manuscript to AUPress for consideration.

Probability and Measure
Probability and Measure

Author: Patrick Billingsley

Publisher: John Wiley & Sons

Published: 2017

Total Pages: 612

ISBN-13: 9788126517718

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Now in its new third edition, Probability and Measure offers advanced students, scientists, and engineers an integrated introduction to measure theory and probability. Retaining the unique approach of the previous editions, this text interweaves material on probability and measure, so that probability problems generate an interest in measure theory and measure theory is then developed and applied to probability. Probability and Measure provides thorough coverage of probability, measure, integration, random variables and expected values, convergence of distributions, derivatives and conditional probability, and stochastic processes. The Third Edition features an improved treatment of Brownian motion and the replacement of queuing theory with ergodic theory.· Probability· Measure· Integration· Random Variables and Expected Values· Convergence of Distributions· Derivatives and Conditional Probability· Stochastic Processes