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Titlebook: Probability: A Graduate Course; Allan Gut Book 20051st edition Springer-Verlag New York 2005 Probability theory.Random variable.central li

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31#
發(fā)表于 2025-3-27 00:39:13 | 只看該作者
Random Variables,m variable when they are functions from the probability space to ?. If the image is in ?. for some . ≥ 2 one talks about .-dimensional random variables or simply random vectors. If the image space is a general abstract one, one talks about random elements.
32#
發(fā)表于 2025-3-27 02:43:25 | 只看該作者
33#
發(fā)表于 2025-3-27 05:19:49 | 只看該作者
Limit Theorems; Extensions and Generalizations,obabilistic tools and methods, and one chapter each on the three cornerstone results, the law of large numbers, the central limit theorem, and the law of the iterated logarithm — LLN,CLT, and LIL. So, what’s up next?
34#
發(fā)表于 2025-3-27 10:19:50 | 只看該作者
Book 20051st editionoward the surrounding world. The point of departure of this book is the opposite. ..This textbook on the theory of probability is aimed at graduate students, with the ideology that rather than being a purely mathematical discipline, probability theory is an intimate companion of statistics. The book
35#
發(fā)表于 2025-3-27 17:34:04 | 只看該作者
36#
發(fā)表于 2025-3-27 21:22:31 | 只看該作者
https://doi.org/10.1007/b138932Probability theory; Random variable; central limit theorem; convergence; law of large numbers; law of the
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