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Titlebook: An Intermediate Course in Probability; Allan Gut Textbook 19951st edition Springer Science+Business Media New York 1995 Normal distributio

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21#
發(fā)表于 2025-3-25 03:37:58 | 只看該作者
22#
發(fā)表于 2025-3-25 08:34:39 | 只看該作者
Multivariate Random Variables,One-dimensional random variables are introduced when the object of interest is a one-dimensional function of the events (in the probability space (Ω, ., .)); recall Section 4 of the Introduction. In an analogous manner, we now define multivariate random variables, or random vectors, as multivariate functions.
23#
發(fā)表于 2025-3-25 13:56:37 | 只看該作者
Conditioning,Let . and . be events, and suppose that .(.) > 0.
24#
發(fā)表于 2025-3-25 19:03:35 | 只看該作者
25#
發(fā)表于 2025-3-25 20:15:09 | 只看該作者
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發(fā)表于 2025-3-26 01:57:08 | 只看該作者
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發(fā)表于 2025-3-26 06:00:05 | 只看該作者
28#
發(fā)表于 2025-3-26 09:57:00 | 只看該作者
Entwicklung eines ?GoB-Systems“an or average of a set of (independent) random variables is a very important object in probability theory as well as in statistics, we focus in this chapter on sums of independent random variables (from which one easily finds corresponding results for the average). We know from earlier work that the
29#
發(fā)表于 2025-3-26 13:14:01 | 只看該作者
Entwicklung eines ?GoB-Systems“on. Very natural objects of interest are the largest observation, the smallest observation, the centermost observation (the median), among others. In this chapter we shall derive marginal as well as joint distributions of such objects.
30#
發(fā)表于 2025-3-26 18:06:48 | 只看該作者
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