Titlebook: Cyclostationarity: Theory and Methods – IV; Contributions to the Fakher Chaari,Jacek Leskow,Anna Dudek Conference proceedings 2020 Springer

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Indent

An Overview of Robust Spectral Estimators,case of short and long-memory univariate time series and periodic processes. A special attention is given to the .-periodogram for short-memory processes. In this case, Theorem 1 and Corollary 1 derive the asymptotic distribution of this spectral estimator. As the application of the methodologies, r

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2363-698X It provides students, researchers and professionals with a timely guide on cyclostationary systems, nonstationary processes and relevant engineering applications..978-3-030-22531-5978-3-030-22529-2Series ISSN 2363-698X Series E-ISSN 2363-6998

Ardent

Barbara Frank-Job,Joachim Michaelone of the possible ways of selection the length the subsampling window. We illustrate our results with simulated data as well as with real data set corresponding to Nord Spool data. For such data we consider practical issues of constructing the confidence band for the periodic mean function and the

開玩笑

Angstst?rungen bei Kindern und Jugendlichen Minimum Volatility Method and the approach based on the logarithm of quantile are verified not to be valid for periodic nonstationary case. Finally, a heuristic method of the block length choice is proposed.

大氣層

Psychopharmakologische Behandlungent estimators is carried out for the case of the amplitude modulated signals. It is shown that the advantage of the component method over coherent grows as a rate of PCRP correlations clumping increases. The example of the using of vectorial statistical processing for diagnosis of rolling bearing a

FECK

Rahmenbedingungen für die Behandlung LARCH(.) fields. We show that, under suitable weak-dependence conditions, the maximum may be regarded as the maximum of an approximately independent sequence of sub-maxima, although there may be high local dependence leading to clustering of high values. These results on asymptotic max-independence

HAIRY

https://doi.org/10.1007/978-3-531-90776-5ed processes. We examine the characteristic function, the codifference, the probability density function, asymptotic tail behaviour and the fractional order moments. To make the application of these processes possible we propose a simulation procedure. Finally, we demonstrate how to estimate the tai

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