[HTML][HTML] ANOPOW for replicated nonstationary time series in experiments
We propose a novel analysis of power (ANOPOW) model for analyzing replicated
nonstationary time series commonly encountered in experimental studies. Based on a …
nonstationary time series commonly encountered in experimental studies. Based on a …
Extending time-series models for irregular observational gaps with a moving average structure for astronomical sequences
C Ojeda, W Palma, S Eyheramendy… - RAS Techniques and …, 2023 - academic.oup.com
In this study, we introduce a novel moving-average model for analyzing stationary time-
series observed irregularly in time. The process is strictly stationary and ergodic under …
series observed irregularly in time. The process is strictly stationary and ergodic under …
A novel first-order autoregressive moving average model to analyze discrete-time series irregularly observed
C Ojeda, W Palma, S Eyheramendy… - … Conference on Time …, 2021 - Springer
A novel first-order autoregressive moving average model for analyzing discrete-time series
observed at irregularly spaced times is introduced. Under Gaussianity, it is established that …
observed at irregularly spaced times is introduced. Under Gaussianity, it is established that …
Automatic estimation of spatial spectra via smoothing splines
S Zhang - Computational Statistics, 2022 - Springer
Spectra are frequently used to depict the dependence features of a second-order stationary
process. In this paper, the spatial log-spectral density is expressed by a new type of …
process. In this paper, the spatial log-spectral density is expressed by a new type of …
An irregularly spaced first-order moving average model
A novel first-order moving-average model for analyzing time series observed at irregularly
spaced intervals is introduced. Two definitions are presented, which are equivalent under …
spaced intervals is introduced. Two definitions are presented, which are equivalent under …
A spectral domain test of isotropic properties for irregularly spaced spatial data
S Zhang - Journal of Statistical Computation and Simulation, 2021 - Taylor & Francis
In modelling spatial data, it is a crucial aspect to specify the covariance function of the
random field appropriately. For the sake of simplicity, the spatial isotropy is often assumed …
random field appropriately. For the sake of simplicity, the spatial isotropy is often assumed …