time series data set
Repairing Boolean logical models from time-series data using Answer Set Programming
... a time-series data set, by visiting all nodes on each ...each time step and all time steps available in the time series have been iterated ...the ...
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A Set of Ternary Time Series Forecasting Models Based on the Difference Rate
... A set of ternary time series forecasting models based on the difference rate (ASTDR) is ...arbitrary time series, we can apply automatic optimization search method to sieve the ordinary ...
5
A Comparative Simulation Study of ARIMA and Fuzzy Time Series Model for Forecasting Time Series Data
... testing data set for the variance error and 4 parameters by the ARIMA and fuzzy time ...interest time series models mentioned above are highly consistent (the values almost fall on the ...
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Model selection for time series of count data
... L) set equal to (θ 0 , L 0 ), if the proposed move is accepted, and (θ, L) remains unchanged ...the data) between 100 and 200, M = 100 performs well in balancing small Monte Carlo error in the estimation of ...
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Nitrogen oxides in the troposphere – What have we learned from satellite measurements?
... SCIAMACHY time series extending over more than a decade, evaluation of the data set for changes over this time period becomes ...GOME data from 1996 to 2002 are shown in figure 5 ...
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Time series analyses of consumption grouped data
... While in Adda and Cooper the equilibrium model is solved under the hypothesis of constant marginal costs, so that price is exogenous. Caplin and Leahy (1999) set up an equilibrium model and focus on the endogenous ...
133
Preliminary Theory of Set DR of Fuzzy Time Series Forecasting Model
... fuzzy time series forecasting models of the set SDR is not all higher, some of the forecasting model is standard, accuracy is high; There are also many forecasting model is not standard, accuracy is ...
5
Time series modelling of birth data
... birth time series with other variable time series may not significantly improve the result of birth ...birth series forecast their future values may be achieved by comparing birth ...
114
Missing data management and statistical measurement of socio-economic status: application of big data
... yearly time series data from 1993 to 2013 of IMF 2013 data set for data management ...years time series data. In data manage- ment, missing values are ...
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Time series clustering in large data sets
... perform time series clustering on much larger data- set to obtain more accurate results and to fi nd the correlation between confi gured parameters and re- sults more ...of time ...
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Power Spectral Density Analysis of Time Series of Pixel of Functional Magnetic Resonance Image for Different Motor Activity
... pixel time series for different motor ...fMRI time series with the activity ...Methods:ThefMRI data set consists of a sequence of images with respect to time, when the ...
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A comprehensive set of post estimation measures to enrich interrupted time series analysis
... To demonstrate how the measures of interest are calculated following the itsa com- mand, we use the example data presented in Linden (2015). Briefly, in 1988, California passed the voter-initiative Proposition 99, ...
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Preliminary Theory of Set SDR of Fuzzy Time Series Forecasting Model
... same time. But the prediction accuracy of prediction model of fuzzy time series forecasting models of the set SDR is not all higher, some of the forecasting model is standard, accuracy is ...
5
Time Series Analysis and Forecast of GDP in Ethiopia: Evidence from Ethiopian Data
... three series showed an increasing pattern and one series is decreasing, that is, there is the sign of non stationarity in each of the ...all series are non stationary at level at 5% significant ...
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Nonlinearity Tests For Bilinear Time Series Data
... nonlinear data set as linear data ...a data set is linear or ...the data is nonlinear, we expect that a bilinear model will improve the modelling of the data ...
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Data Abstraction for Visualizing Large Time Series
... univariate time series with a common ...bivariate time series where two variables have comparable value ranges [SBvLK09] and to multivari- ate time series after transforming the ...
23
Mathematical modelling of dengue pattern in Penang, Malaysia
... using time series approach. Time series is a set of historical data arranged sequentially according to ...that time series forecasting has been used to analyse ...
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A Real-Time Data Set for Switzerland
... Concepts as well as the methodology for the computation of national accounts are subject to development. For example, Swiss national accounts may be adjusted to new international standards, or the method of computing ...
22
Similarity Search in Time Series Data Using Time Weighted Slopes
... the time sequences to the frequency domain and the index so built was called the ...the time sequence in frequency ...the time domain. For a range query the F-index returns a set of sequences ...
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An Efficient Method for Selecting the Optimal Structure of a Fuzzy Neural Network Architecture
... is valid for any k, then such a function is able to split any sample of arbitrary size, in all pos- sible ways, or it is able to fit any data set with zero error. Later on, the well-known problem of ...
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