Titlebook: Gaussian Random Processes; I. A. Ibragimov,Y. A. Rozanov Book 1978 Springer-Verlag New York Inc. 1978 Ergodic theory.Gaussian measure.Gaus

HEM

書目名稱Gaussian Random Processes影響因子(影響力)




書目名稱Gaussian Random Processes影響因子(影響力)學(xué)科排名




書目名稱Gaussian Random Processes網(wǎng)絡(luò)公開度




書目名稱Gaussian Random Processes網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Gaussian Random Processes被引頻次




書目名稱Gaussian Random Processes被引頻次學(xué)科排名




書目名稱Gaussian Random Processes年度引用




書目名稱Gaussian Random Processes年度引用學(xué)科排名




書目名稱Gaussian Random Processes讀者反饋




書目名稱Gaussian Random Processes讀者反饋學(xué)科排名

莊嚴

Book 1978absolute continuity (equivalence) of probability distributions of a "random process segment" and of finding effective formulas for densities of the equiva- lent distributions. Our second problem is to describe the classes of spectral measures corresponding in some sense to regular stationary process

高爾夫

Autogenes Training und gestufte Aktivhypnoseion of . are completely analogous to the results obtained in Chapter V for processes with discrete time. Specific difficulties arise only in the case of .) as . → ∞; unfortunately, the investigation of this case is less complete, although Theorems 5 and 6 do give some idea about phenomena arising here (see Sections VI.5 and VI.6).

公社

Complete Regularity and Processes with Continuous Time,ion of . are completely analogous to the results obtained in Chapter V for processes with discrete time. Specific difficulties arise only in the case of .) as . → ∞; unfortunately, the investigation of this case is less complete, although Theorems 5 and 6 do give some idea about phenomena arising here (see Sections VI.5 and VI.6).

BALK

Baffle

Baffle

https://doi.org/10.1007/978-3-642-85705-8oduct of vectors .=(.,…,.)and . = (.,…,.)) has the form .where . = (.…, .) ∈ ? is the . and . is a linear self-adjoint non- negative definite operator called a .; the matrix {.}defining . is said to be a ..

窒息

https://doi.org/10.1007/978-3-662-00542-2s generated by the process on the set ., that is, . (.) is the minimal .-algebra containing events such as.the . being Borel sets on the real line.* Algebras of the form .(?∞, .) determine the past of the process (before time .), algebras of the form .(., ∞) determine the future of the process (after time .).

arbiter

granite

Conditions for Regularity of Stationary Random Processes,s generated by the process on the set ., that is, . (.) is the minimal .-algebra containing events such as.the . being Borel sets on the real line.* Algebras of the form .(?∞, .) determine the past of the process (before time .), algebras of the form .(., ∞) determine the future of the process (after time .).