Titlebook: Correlation Theory of Stationary and Related Random Functions; Supplementary Notes A. M. Yaglom Book 1987 Springer-Verlag New York Inc. 19

BLANC

C. Bouras,V. Kapoulas,E. Tsanaitions (.(.), …, .(.) = .(.) are also often called . (or .) . in the literature, while the term . is used by many authors for random functions .(., …, .) = X(t) which depend on several variables (and are called . in this book); see, e.g., Bartlett (1978) and Priestley (1981).

狂乱

制定法律

C. Bouras,V. Kapoulas,E. Tsanaitions (.(.), …, .(.) = .(.) are also often called . (or .) . in the literature, while the term . is used by many authors for random functions .(., …, .) = X(t) which depend on several variables (and are called . in this book); see, e.g., Bartlett (1978) and Priestley (1981).

Generosity

Springer Series in Statisticshttp://image.papertrans.cn/c/image/238767.jpg

拥护

https://doi.org/10.1007/978-1-4612-4628-2correlation; probability; probability theory; time series

似少年

尽责

Neuralgia

Waldenström’s MacroglobulinemiaAs is well known, Dirac’s δ-function is the “improper function” δ(.), which satisfies the relations: . (so that δ(0) cannot be finite). The function δ(.) can be interpreted as the limit (nonexistent, in fact) of the sequence of ordinary functions δ.(.) such that ..

进步

Introduction,As is well known, Dirac’s δ-function is the “improper function” δ(.), which satisfies the relations: . (so that δ(0) cannot be finite). The function δ(.) can be interpreted as the limit (nonexistent, in fact) of the sequence of ordinary functions δ.(.) such that ..

愚笨

Chapter 1,m 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