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Gaussian Random Functions (Mathematics and Its Applications)
M.A. Lifshits
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| #5220957 in Books | Springer | 1995-02-28 | Original language:English | PDF # 1 | 9.21 x.88 x6.14l,1.47 | File type: PDF | 337 pages | ||Language Notes|Text: English (translation)| Original Language: Russian
It is well known that the normal distribution is the most pleasant, one can even say, an exemplary object in the probability theory. It combines almost all conceivable nice properties that a distribution may ever have: symmetry, stability, indecomposability, a regular tail behavior, etc. Gaussian measures (the distributions of Gaussian random functions), as infinite-dimensional analogues of tht< classical normal distribution, go to work as such exemplary objects in the t...
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