arma

A simulation example indicates the forecast precision of the ANN-ARMA model to be superior to that of the ANN model.

Finally is there anything else you wish to say at this point about ARMA 2?

We managed to get on from behind and it was not sinking into the ground like the ARMA birds do.

A practiced study shows this method is quite efficient in ARMA model selection with large number of candidate model.

Engineering structure parameter identification method applied with time series ARMA modeling under ambient excitation was researched.

With analysis of meteorological temperature data, ARMA model is produced to predict and control the system.

The sum of forecast values of the ANN model and the ARMA model is considered as the optimal forecast value of future product consumption.

In the Advanced Combat Environment mod, the Platoon Medic will have more of a role than in vanilla ArmA.

Further, ARMA-GJR-M model is obtained to reflect leverage effect of good and bad news on the volatility.

The precision of the presented method is higher than the traditional method in predicting generalized time-varying ARMA series.

The mixed autoregressive moving average (ARMA) and hidden periodicity model is chosen to predict a short term series of electricity price.

Compared to the traditional test method for ARMA models, our method is intuitive and very simple in computations.

The result shows that these two models can realize the function of predicting the aero-generator's service life.

An ARMA innovation model and the state optimal filter are designed by modern time series analysis method.

And then it builds ARMA model to forecast the changing trend of export similarity index in both countries.

By using AR models to approximate ARMA models, an algorithm is presented for identifying ARMA models.

A distributed fusion deconvolution for multichannel ARMA signal is given by using the optimal fusion weighting algorithm.

Conclusion Compared with traditional regression algorithm (such as ARMA), the building model is feasible and effective.

For all, ARMA-GARCH model is the best overall- its prediction is the best.

In this paper, autoregressive moving average model(ARMA) is used to forecast the power load.

To analyze the impact of advanced customer demand commitment on a supply chain, the customer demand with ARMA(1, 1) process is considered.

To improve aero-generator life prediction accuracy, an optimized ARMA model based on genetic algorithm was presented.

However, when the order of ARMA model is very high, to compare every candidate model's criterion value is computationally infeasible.

Conclusion ARMA (4, 2)-ARCH (2) model can be used as the forecasting model of cholecystitis incidence rate in Haixizhou region.

Please start us off by introducing yourself and telling us about your involvement with the development of ARMA 2.

A Study of Turbine Vibration-fault Diagnosis Based on an ARMA and a Neural Network

The generalized likelihood ratio test of change-point of means in an ARMA process

The application of ARMA spectrum in real-time monitoring during powder metallurgy compacting process

Discussion on Several Problems for Application of Modulated ARMA Model in Simulation of Earthquake Waves

Application of ARMA Power Spectral Analysis in Power System Low Frequency Oscillation Analysis

Research on Application of ARMA Model in Telediagnosis of Electrocardiogram Signals

Study of Reciprocating Compressor Condition Forecasting Based on ARMA Model

Applying ARMA Spectral Estimation to Verify Simulation Models for Missile System

Research on the ARMA-Based Traffic Prediction Algorithm for Wireless Sensor Network

Hidden multi-resolution ARMA models for nonlinear time series forecast

ARMA Model Parameters Estimation Based on Genetic Algorithm and Its Application

A New Method on Discernment and Parameters Estimation of the ARMA Model

Predicting Securities Market in Shanghai and Shenzhen by ARMA Model

A Method Based on ARMA Model for Modal Parameter Identification of A Power House

ARMA model building and system identification by using impulse time response

ARMA Model of Nonsynchronous Trading and Return Analysis

ARMA Predictive Model Based CELP Speech Coding Algorithm

Parameter Estimation of ARMA Model in CELP Coder Using Newton Method

ARMA model analysis of landslide deformation

Application of ARMA Model in Forecasting Problems

Utilizing Improved ARMA Model for Forcasting the Demand in SCM

An Estimation of Curve Regression Model with ARMA Series Error

ARMA forecasting model of Baltic freight index

Study on Non-Gaussian ARMA Model and Bispectrum of Lung Sounds

Bayesian test for stationary of ARMA process

Identification of Cylinder Pressure Based on Wavelet Analysis and ARMA Model

Analysis of time-series forecast for industrial accidents based on ARMA model

Forecast and analysis of economic growth of Guangyuan downtown based on ARMA model

Forecasting of Vibration Fault Series of Stream Turbine Rotor Based on ARMA

An Energy Demand Prediction Model Based on Trend Extrapolation and ARMA

Forecasting Model of Traffic Flow Based on ARMA and Wavelet Transform

Fault Prediction Method for Transformers Based on ARMA Model

A Maneuvering Target Tracking Algorithm Based on ARMA Model

Analysis of Non-steady Time-series Forecast for Economy Based on ARMA Model

Parameters Identification in Offshore Platform Using ARMA Model and Technology of Extracting Free Vibration Signal

A Robust ARMA System Identification Based on the Vector Method

Modeling Method of Linear System Based on Online Identifier ARMA

Research on Method of Power System Load Forecasting Based on ARMA Model

The Drift Method of Fiber Optic Gyros Based on the ARMA Model

Fractal Brownian motion modeling based on ARMA

ARMA, Association of Records Managers and Administrators