Measure, Probability and Functional Analysis Stefan Geiss
Titel: Measure, Probability and Functional Analysis, Einband: Taschenbuch, Autor: Stefan Geiss, Verlag: Springer Nature Switzerland, Springer Nature Switzerland, Sprache: Englisch, Seiten: 464, Maße: 235x155x24 mm, Gewicht: 782 g, Verkäufer: buch-mimpf, Schlagworte: Berry-Esseen Theorem Bochner-Khinchin Theorem Characteristic Function of a Random Variable Conditional expectation Fourier Transform of a Measure Independence Kolmogorov Zero-One Law and Ergodicity Law of Iterated Logarithm Lebesgue integral Measure Spaces Probability theory Radon-Nikodym theorem Random Variables and their Convergence Stein's Method Theorem of Caratheodory Uniform integrability Vitali's Convergence Theorem central limit theorem strong law of large numbers weak convergence.
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