AUTOREGRESSIVE相关论文
Prediction and Analysis of Chinese Earth Rotation Parameters Based on Robust Least-Squares and Autor
Earth Rotation Parameters (ERP) are the necessary parameters to achieve mutual conversion of the celestial reference fra......
The paper utilizes spatial panel data model to analyze the regional innovation effect of Zhejiang during 2001-2008, usin......
Noise reduction of acoustic Doppler velocimeter data based on Kalman filtering and autoregressive mo
Oceanic turbulence measurements made by an acoustic Doppler velocimeter(ADV)suffer from noise that potentially affects t......
<正> The 15 mean latitude series in Europe are obtained by using Vondrak’s method to eliminate the Chandler term, the a......
A LIL for independent non-identically distributed random variables in Banach space and its applicati
In this paper,we prove a general law of the iterated logarithm (LIL) for independent non-identically distributed B-value......
Analyzing short time series data from periodically fluctuating rodent populations by threshold model
The study of the rodent fluctuations of the North was initiated in its modern form with Elton’s pioneering work.Many sc......
This paper studies the weak convergence of the sequential empirical process K n of the residuals in the threshold autore......
2001 年第17卷第4期摘要PERCENTAGE POINTS AND POWER OF A K-S TYPE TEST FOR LINEARTIYIN AUTOREGRESSIVE TIME SERIES CHEN GEN......
Identification of Axial Vibration Excitation Source in Vehicle Engine Crankshafts Using an Auto-regr
Violent axial vibration of a vehicle engine crankshaft might lead to multiple defects to the engine.Much research on mec......
A nonlinear autoregressive (NAR) model is built to model the heartbeat interval time series and the optimum model degre......
The white noise deconvolution or input white noise estimation problem has important applications in oil seismic explorat......
The quadratic transformation method is proposed to estimate the trabecular spacing(Tb.Sp),an important index for osteopo......
Man-made forest, which is the forest ecosystem of rehabilitation and reconstruction, plays a significant role in the pro......
In this study,the sample data was based on 2 790 samples of 9 trees from dahurian larch (Larix gmelinii) plantations loc......
Background:Tectona grandis(teak)is one of the most important tropical timber species occurring naturally in India.Approp......
Autoregressive spatial analysis and individual tree modeling as strategies for the management of Ere
The objectives of this study were to apply statistical techniques to discriminate fertilization treatments of Eremanthus......
Development of ecoregion-based merchantable volume systems for Pinus brutia Ten.and Pinus nigra Arno
Estimating individual tree volume is one of the essential building blocks in forest growth and yield models.Ecologically......
统计质量控制(SQC),以控制图为人们所熟悉,源于休哈特20世纪20年代在芝加哥城外的西方电气厂的工作。其后,大约过了几十年时间,SQC......
1.IntroductionUnderstandingofsurfaceelectromyography(SEMG)duringspecificmovementsisaprimaryworktorealizeeffectiveandreli......
Comparison of performance of statistical models in forecasting monthly streamflow of Kizil River,Chi
This paper presents the application of autoregressive integrated moving average(ARIMA),seasonal ARIMA(SARIMA),and Jordan......
Uncertainty analysis and risk analysis are two important areas of modern water resource management,in which accurate var......
为探究吕家坨井田地质构造格局,根据钻孔勘探资料,采用分形理论和趋势面分析方法,研究了井田7......
目的应用乘积季节自回归移动平均(seasonal autoregressive integrated moving average,SARIMA)模型对肺结核发病率进行预测研究,......
An advanced signal processing technique, higher-order spectra, is proposed to in vestigate the nonlinear coupling phenom......
The present study revealed the stimulatory effects of NMDA on intracellular ca 2+ concentration in rat dorsal root ......
A time series analysis method was used to establish an econometric model for SINOPEC’S stock price tendency on the dome......
目的应用自回归移动平均(autoregressive integrated moving average,ARIMA)模型建立宝鸡市细菌性痢疾月发病率预测模型,尝试定量......
Analyzing short time series data from periodically fluctuating rodent populations by thresholdmodels
The study of the rodent fluctuations of the North was initiated in its modern form with Elton’s pioneering work.Many sc......
AUTOREGRESSIVE MODEL AND POWER SPECTRUM CHARATERISTICS OF CURRENT SIGNAL IN HIGH FREQUENCY GROUP PUL
The identification of the inter-electrode gap size in the high frequency group pulse micro-electrochemical machining (HG......
Adaptive Time-Frequency Distribution Based on Time-Varying Autoregressive and Its Application to Mac
The time-varying autoregressive (TVAR) modeling of a non-stationary signal is studied. In the proposed method, time-vary......
Financial Development,Economic Growth and Adaptive Efficiency:A Comparison between China and Pakista
The strong economic growth in China is difficult to reconcile with its inefficient financial system.The puzzle of China......
Multiple dominant gear meshing frequencies are present in the vibration signals collected from gearboxes and the convent......
Biclustering is a method of grouping objects and attributes simultaneously in order to find multiple hidden patterns.Whe......
本文提出新的季节自回归模型(Seasonal autoregressive model, SAR)适用于带有季节变化的时间序列预测,使用该模型的软件,预测的选......
One of the missing pieces preventing us from understanding recent Chinese economicdevelopment is the role played by ope......
Joint application of feature extraction based on EMD-AR strategy and multi-class classifier based on
This paper presents an effective and efficient combination of feature extraction and multi-class classifier for motion c......
On the assumption that the wavelet is causal and nonminimum phase,an autoregressive moving average(ARMA) model is introd......
Covariance of clean signal and observed noise is necessary for extracting clean signal from a time series.This is transf......
This paper introduces a new model-based soft decoding technique to restore the widely used joint photographic expert gro......
Blind Channel Equalization Algorithm Based on Dual Unscented Kalman Filter for Chaotic Multi-Input M
To reduce channel noise,fading,and inter-user interference effectively in the chaotic communication systems with multi-u......
To improve the reliability and accuracy of the global positioning system (GPS)/micro electromechanical system (MEMS)iner......
Modulation of electroencephalograph activity by manual acupuncture stimulation in healthy subjects:A
To investigate whether and how manual acupuncture(MA) modulates brain activities,we design an experiment where acupunctu......
A hands-free method is proposed to control an electric powered wheelchair(EPW)based on surface electromyography(sEMG)sig......
Particle filtering(PF) algorithm has the powerful potential for coping with difficult non-linear and non-Gaussian proble......
This paper presents a flight control design for an unmanned aerial vehicle (UAV) using a nonlinear autoregressive moving......
Multiscale modeling for classification of SAR imagery using hybrid EM algorithm and genetic algorith
A novel method that hybridizes genetic algorithm (GA) and expectation maximization (EM) algorithm for the classification......
Accurate fault prediction can obviously reduce cost and decrease the probability of accidents so as to improve the perfo......
