[PDF] Top 20 1. A novel approach to reduce the noise of time series data using predictive weighted moving average
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1. A novel approach to reduce the noise of time series data using predictive weighted moving average
... A time series is eventually a collection of periodic recording of ...The data series based on time can be a collection from various sources with symmetric or dissymmetric nature ... See full document
12
Applications of AutoRegressive Integrated Moving Average (ARIMA) approach in time-series prediction of traffic noise pollution
... the noise data gathered under pilot NANMN project recom- mended the random two month strategy, whereby an er- ror of 2 dBA is achieved with a probability higher than 90% 27 ...The time-series ... See full document
13
Automatic Signal Segmentation using the Fractal Dimension and Weighted Moving Average Filter
... method using weighted moving average filter and fractal dimension has been ...proposed. Weighted moving average filter not only can reduce short-term variations or ... See full document
8
A Predictive Analysis of the Indian FMCG Sector using Time Series Decomposition - Based Approach
... technique using neural network based on historical accounting data and various macroeconomic parameters to forecast variations in stock ...1999 using linear regression and simple neural network ... See full document
21
Multilayer Perceptron (MLP) and Autoregressive Integrated Moving Average (ARIMA) Models in Multivariate Input Time Series Data: Solar Irradiance Forecasting
... by using one of the weather parameters of solar irradiance. Time series data is a series of data that have complex ...performed using a hidden layer basis that is divided ... See full document
9
Forecasting Value at Risk with time varying variance, skewness and kurtosis in an exponential weighted moving average framework
... return series of US, UK and Japan portfolios and find that their model is able to capture the fat-tailed nature of most returns series and estimate superior VaR forecasts compared with the standard EWMA ... See full document
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Exponentially weighted moving average control charts for three-level products
... Received: 1 September 2008 / Revised: 25 May 2009 / Published online: 5 June 2009 © Springer-Verlag 2009 Abstract In this paper, exponentially weighted moving average (EWMA) control charts for ... See full document
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A Time Space Dynamic Panel Data Model with Spatial Moving Average Errors
... (2007). Using Monte Carlo simulations, we compare the empirical performance of our GM spatial esti- mator with that of OLS, Within and GMM à la ‘Arellano and ...panel data estimators that take no account of ... See full document
52
Order identification and estimation of moving average and auto-regressive dynamic models for count time series
... count data. 1.6 Motivation Fitting an adequate model to the underlying time series should be done carefully due to the necessary importance of time series forecasting in numerous ... See full document
153
Trend Analysis with Effective Covariates Based On Auto Regressive- Moving Average Time Series Residuals
... The approach includes a provision for treating on the different degrees of ...observed data are assumed to result from time ...the time effect in the multiplicative regression model [5, 6, ... See full document
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The Assessment and Comparison of Performance Analysis Using Exponentially Weighted Moving Average and Cumulative Sum Scheme.
... historical data are assumed to be a representative of the process when it is under control, prediction intervals can be used to identify future values that suggest a change in the root cause composition of ... See full document
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Forecasting Value-at-Risk with time-varying variance, skewness and kurtosis in an exponential weighted moving average framework
... that time-varying skewness and kurtosis fluctuate more and exhibit large spikes – negative spikes for time-varying skewness - during periods of high ...the time-varying skewness and positive spikes ... See full document
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WEIGHTED AVERAGE ANALYSIS APPROACH FOR HAND GESTURE RECOGNITION USING ANN
... The consequence is that the distance between typical WA values (values of the weighted averaging) increases at an exponential rate, and that makes the classification less sensitive to errors. Indeed, in this case, ... See full document
8
Generalized seasonal autoregressive integrated moving average models for count data with application to malaria time series with low case numbers
... count time series data from Gampaha District in Sri ...sample data, and needed fewer ...posterior predictive distributions were much better for the negative binomial GSARIMA model than ... See full document
9
Enhanced exponentially weighted moving average (EWMA) control chart performance with autocorrelation
... A basic assumption in traditional application of SPC methods is the observations of the processes under investigation are normally and independently identically distributed (i.i.d.). When these assumptions tend to be ... See full document
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GPS time series modeling by autoregressive moving average method: Application to the crustal deformation in central Japan
... 3.2 Yearly averaged maximum shear strain field The goal of this study is to estimate the secular strain field in central Japan by using the improved time series data. The strain components ... See full document
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A Time Truncated Moving Average Chart for the Weibull Distribution
... A moving average control chart has been suggested for mon- itoring the number of failures under a time-truncated life test when the life of an item follows the Weibull ...test time constant ... See full document
7
Design of Exponentially Weighted Moving Average Chart for Monitoring Standardized Process Variance
... Abstract — Control charts for monitoring of process variance are developed based on Shewhart, exponentially weighted moving average (EWMA) and cumulative sum (CUSUM) control charts for mean. In all ... See full document
5
Exponentially Weighted Moving Average Control Schemes for Assessing Hospital Organizational Performance
... Exponentially weighted moving average (EWMA) control charts have been suc- cessfully used in recent years in several areas of ...comprehensive approach for assessing the steady-state behaviour ... See full document
13
Signal-to-noise ratio for MTCI and NDVI time series data
... real time weekly and global MTCI composites [21] enables researchers to derive accurate phenological variables ...environmental noise present in the MTCI time series before using it to ... See full document
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