手镯
发表于 2025-3-21 16:29:53
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动作谜
发表于 2025-3-21 23:12:19
0172-7397 aling only with the first and second moments of these functions. This theory is a significant part of modern probability theory and offers both intrinsic mathematical interest and many concrete and practical applications. Stationary random functions arise in connection with stationary time series wh
要塞
发表于 2025-3-22 03:22:34
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photopsia
发表于 2025-3-22 06:29:02
Book 1987 with the first and second moments of these functions. This theory is a significant part of modern probability theory and offers both intrinsic mathematical interest and many concrete and practical applications. Stationary random functions arise in connection with stationary time series which are so
Formidable
发表于 2025-3-22 11:09:42
https://doi.org/10.1007/978-3-319-22584-5e variance σ.(.) of any unbiased estimator . of a parameter . can be determined, and hence the absolute . .(.) = σ.(.)/σ.(.) of . can be evaluated. The estimator . (and the estimate .) is called . if .(.) = 1 and . if .(.) → 1 as . → ∞.
花费
发表于 2025-3-22 13:40:34
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花费
发表于 2025-3-22 20:21:24
Chapter 2,ation of the result (2.5) in the form .. The last relationship implies the possibility of representing the random sequence .(.) in the form (2.4) by virtue of the so-called theorem on generalized spectral representation of random functions (see the closing part of Note 17 below).
大漩涡
发表于 2025-3-22 21:47:42
Ahmed Abujoda,Panagiotis Papadimitrioum function arises, usually in an actual physical context. As already emphasized in the Introduction, in order to apply probabilistic methods, we must have an experiment which can be repeated many times under similar conditions and which can lead to different outcomes. The set Ω of all possible outco
CUB
发表于 2025-3-23 03:29:55
C. Bouras,V. Kapoulas,E. Tsanai consider the more general case of the complex-valued function .(.). Assuming that . = 0 for . > . and . < 0, we can write the corresponding generalization of the result (2.5) in the form .. The last relationship implies the possibility of representing the random sequence .(.) in the form (2.4) by v
混杂人
发表于 2025-3-23 09:14:03
https://doi.org/10.1007/978-3-319-22584-5stimates thoroughly studied in many statistical texts (see, e.g., Cramér, 1946; Wilks, 1962; Kendall and Stuart, 1966; Silvey, 1970; Zacks, 1971). To compare two different unbiased consistent estimators of ., say, . and ., the .(., .) or . as compared with . is sometimes evaluated by the formula .(.