Cyclostationarity: Theory and Methods III, Fakher Chaari; Jacek Leskow; Antonio Napolitano; R
Автор: Fakher Chaari; Jacek Leskow; Antonio Napolitano; R Название: Cyclostationarity: Theory and Methods - II ISBN: 3319163299 ISBN-13(EAN): 9783319163291 Издательство: Springer Рейтинг: Цена: 22359.00 р. 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: 3319362011 ISBN-13(EAN): 9783319362014 Издательство: Springer Рейтинг: Цена: 20896.00 р. 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.
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