Abstract
σ-fields and monotone classes; measurable functions; measures and integration; monotone and dominated convergence; transformation of integrals; product measures and Fubini’s theorem; Lp-spaces and projection; measure spaces and kernels
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© 1997 Applied Probability Trust
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(1997). Elements of Measure Theory. In: Foundations of Modern Probability. Probability and its Applications. Springer, New York, NY. https://doi.org/10.1007/0-387-22704-0_1
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DOI: https://doi.org/10.1007/0-387-22704-0_1
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-94957-4
Online ISBN: 978-0-387-22704-7
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