Results 61 to 70 of about 72,436 (339)
Spatial Autoregressive Fractionally Integrated Moving Average Model
In this paper, we introduce the concept of fractional integration for spatial autoregressive models. We show that the range of the dependence can be spatially extended or diminished by introducing a further fractional integration parameter to spatial autoregressive moving average models (SARMA).
Otto, Philipp, Sibbertsen, Philipp
openaire +3 more sources
An Evaluation of ARFIMA (Autoregressive Fractional Integral Moving Average) Programs [PDF]
Strong coupling between values at different times that exhibit properties of long range dependence, non-stationary, spiky signals cannot be processed by the conventional time series analysis. The autoregressive fractional integral moving average (ARFIMA) model, a fractional order signal processing technique, is the generalization of the conventional ...
Kai Liu, YangQuan Chen, Xi Zhang
openaire +1 more source
Delayformer: Spatiotemporal Transformation for Predicting High‐Dimensional Dynamics
Delayformer introduces a multivariate spatiotemporal transformation (mvSTI) that converts observed variables into delay‐embedded states and cross‐learns their dynamics using a shared Vision Transformer encoder. This approach, grounded in dynamical systems theory, simultaneously predicts all variables in high‐dimensional systems, outperforming state‐of ...
Zijian Wang, Peng Tao, Luonan Chen
wiley +1 more source
Peramalan Jumlah Mahasiswa Baru dengan Model Autoregressive Integrated Moving Average (Arima) [PDF]
Peramalan jumlah mahasiswa baru merupakan salah satu hal yang dapat dipakai untuk bahan perencanaan proses belajar mengajar, oleh karena itu perlu dilakukan prediksi jumlah mahasiswa baru. Penelitian ini dilakukan di kampus STMIK Pradnya Paramita Malang.
As’ad, M. (Mohamad) +2 more
core
Transfer Function Analysis: Modelling Residential Building Costs in New Zealand by Including the Influences of House Price and Work Volume [PDF]
An accurate cost estimate not only plays a key role in project feasibility studies but also in achieving a final successful outcome. Conventionally, estimating cost typically relies on the experience of professionals and cost data from previous projects.
Liu, Zhansheng +3 more
core +1 more source
This study demonstrates a new concept for high‐performance in‐material physical reservoirs (PRs). An intrinsic and cooperative ion–electron state, induced by chemical dedoping in self‐doped poly(3,4‐ethylenedioxythiophene) (S‐PEDOT) nanofilms, enhances the performance of in‐material PRs.
Yuya Ishizaki‐Betchaku +10 more
wiley +1 more source
Enhancing Sales Performance through ARIMA-Based Predictive Modeling: Insights and Applications Model
Gociko Snack, a Micro, Small, and Medium Enterprise (MSME), often faces significant challenges in managing its inventory due to the unpredictable nature of market demand.
Dwi Hartanti, Hanifah Permatasari
doaj +1 more source
Clinical and epidemiological rounds. Time series
Analysis of time series is a technique that implicates the study of individuals or groups observed in successive moments in time. This type of analysis allows the study of potential causal relationships between different variables that change over time ...
León-Álvarez, Alba Luz +3 more
doaj +1 more source
Coffee is a major industrial crop that creates high economic value in Thailand and other countries worldwide. A lack of certainty in forecasting coffee production could lead to serious operation problems for business.
Yotsaphat Kittichotsatsawat +4 more
doaj +1 more source
Modeling volatility in heat rate variability [PDF]
Modeling Heart Rate Variability (HRV) data has become important for clinical applications and as a research tool. These data exhibit long memory and time-varying conditional variance (volatility).
Leite, A, Maria Eduarda Silva, Rocha, AP
core +1 more source

