Abstract
This chapter is devoted to the basic notions of measurable spaces, measure, and integration. The coverage is limited to what probability theory requires as the entrance fee from its students. The presentation is in the form and style attuned to the modern treatments of probability theory and stochastic processes.
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© 2011 Springer Science+Business Media, LLC
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Çınlar, E. (2011). Measure and Integration. In: Probability and Stochastics. Graduate Texts in Mathematics, vol 261. Springer, New York, NY. https://doi.org/10.1007/978-0-387-87859-1_1
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DOI: https://doi.org/10.1007/978-0-387-87859-1_1
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Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-87858-4
Online ISBN: 978-0-387-87859-1
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