Cyclostationarity: Theory and Methods, Fakher Chaari; Jacek Le?kow; Antonio Napolitano; A

Автор: Fakher Chaari; Jacek Leskow; Antonio Napolitano; R
Название: Cyclostationarity: Theory and Methods - II
ISBN: 3319362011 ISBN-13(EAN): 9783319362014
Издательство: Springer
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Цена: 139310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Simulation Study of Performance of MBBin Overall Mean Estimation Problemfor APC Time Series.- Parametric Estimation Problem for a Time‐Periodic Signal in a Periodic Noise.- Damage Assessment of Rolling Element Bearing Using Cyclostationary Processing of AE Signals with Electromagnetic Interference.- The Stochastic Recurrence Structure of Geophysical Phenomena.- Influence of Different Signal Characteristics to PAR Model Stability.- Limiting Distributions For Explosive PAR(1) Timeseries with Strongly Mixing Innovation.- PARMA Models with Applications in R.- Multidimensional Analysis of New Zealand Electricity Prices.- Imputation of Missing Observations for Heavy Tailed Cyclostationary Time Series.- The Dependence Structure for Symmetricα‐Stable CARMA(p, q) Processes.

Автор: Fakher Chaari; Jacek Leskow; Antonio Napolitano; R
Название: Cyclostationarity: Theory and Methods - II
ISBN: 3319163299 ISBN-13(EAN): 9783319163291
Издательство: Springer
Рейтинг:
Цена: 149060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Simulation Study of Performance of MBBin Overall Mean Estimation Problemfor APC Time Series.- Parametric Estimation Problem for a Time‐Periodic Signal in a Periodic Noise.- Damage Assessment of Rolling Element Bearing Using Cyclostationary Processing of AE Signals with Electromagnetic Interference.- The Stochastic Recurrence Structure of Geophysical Phenomena.- Influence of Different Signal Characteristics to PAR Model Stability.- Limiting Distributions For Explosive PAR(1) Timeseries with Strongly Mixing Innovation.- PARMA Models with Applications in R.- Multidimensional Analysis of New Zealand Electricity Prices.- Imputation of Missing Observations for Heavy Tailed Cyclostationary Time Series.- The Dependence Structure for Symmetricα‐Stable CARMA(p, q) Processes.