Application to Other Data Series
Time Series Modelling with Application to Tanzania Inflation Data
... time series modelling was examined with a special application to modelling inflation data in Tan- ...time series analysis was explored and applied to the infla- tion data spanning from ...
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Beta meteorological time series: application to air humidity data
... ical data series as levels of rainfall, temperature or levels of air ...the data, as it was observed in the data application considering the air humidity time ...
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Time series data mining for energy prices forecasting: an application to real data
... several other statistical approaches that can be applied, such as univariate time series ...time series, and thus consider the groups of hourly time series ...
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Application of the trend filtering algorithm for photometric time series data
... In other words, while the overall standard deviation may be reduced, the standard deviation for points taken within a small time frame has increased, which is not a desired ...
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Application of Differential Evolution Algorithm in Prediction of Time Series Data
... Time Series data, Mean Absolute Percentage Error ...Like other evolutionary-type algorithms, DE is population based algorithm and it represents the candidate solutions by chromosomes based on real ...
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Time series count data models: an empirical application to traffic accidents
... time series count data were developed employing a range of econometric models such as ARIMA, NB, NB with a time trend, and INAR(1) Poisson ...time series accident count datasets were used to develop ...
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Thermal Analysis 60 Series Application Data Book Foods and Pharmaceuticals
... Various additives are added to pharmaceuticals. DSC allows simple verification of whether or not the additives have converted to other substances due to reactions. This example shows an examination of interactions ...
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On Application of Cointegration and Vector Error Correction Model to Macroeconomic Time Series Data
... Our results show investment perception of Nigeria is a mixture of other mature stock markets, as was found in New-Zealand, Korea, the US and Japan. Considering the gradual recovery of economies from the global ...
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Statistical approaches to connectivity estimation for multivariate times series with application to EEG data
... time series, which we will expand on in chapter ...on data with little connectivity between channels – as the true underlying partial coherencies are zero-valued themselves – this can lead to serious ...
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Pattern-sensitive Time-series Anonymization and its Application to Energy-Consumption Data
... and other parameters [13] in small time inter- vals and are able to collect other data of the household in addition, ...with other ap- pliances as part of the ”smart home” vision ...
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Mobile Application for Conference Series
... several other application ...existing data basis of web portals in order to provide the same content both on the Web and in the mobile ...the application and reduces the time needed for ...
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Ontology-based Framework for Integration of Time Series Data Application in Predictive Analytics on Data Center Monitoring Metrics
... the data in the databases on a detailed ...an- other question we intend to explore in future work is what is the most appropriate level of semantic model- ing for the purposes of our ...
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An Approximate Markov Model for the Wright–Fisher Diffusion and Its Application to Time Series Data
... For our analysis here we considered only the time points taken during drug treatment (passages 4–12), but considered all 13,395 sites for which data were available (Foll et al. 2014). For each site, we first ...
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Surrogate Data Analysis and Stochastic Chaotic Modelling: Application to Stock Exchange Returns Series
... al. (1992). SDA enables us essentially to test whether the dynamics are consistent with linearly filtered noise or a nonlinear dynamical process. 4 The results indicate that there is a strong complex-deterministic ...
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Joint inference of misaligned irregular time series with application to Greenland ice core data
... the data available to perform ...Our data products, in the form of non-Gaussian posterior predictive distributions, are richer than what have been previously ...by other researchers to answer complex ...
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Application of nonlinear time series analysis techniques to high-frequency currency exchange data
... the data, is to determine if the series is stationary—all other calculations of invariants presume this fact—both linear and non- ...time series is said to be stationary if there is no ...
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Bayesian methods for time series with mixed and mixture distributions with an application to daily rainfall data
... The Rjags package (Plummer, 2012) is used to compute the posterior samples for this model. The MCMC algorithm was run for 10000 iterations to allow for burn-in, and an additional 150000 iterations were obtained as the ...
199
Energy landscapes for a machine learning application to series data
... an application of machine learning ...for series data produced for ge- ometry optimisation of a triatomic ...optimisation series into composite data items we introduce correlation into ...
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Nonprofits and Data: A How-To Series. Using Data to Support Grant Applications and Other Funding Opportunities
... one data point. Data is most likely to have an impact if it is ...comparing data over different time periods (ex: 1990 to 2000), comparing it to the state or national average, or comparing it to ...
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REMOTE SENSING. Satellite Data TREATIES AND OTHER INTERNATIONAL ACTS SERIES Memorandum of Understanding
... and Other International Acts Series issued under the authority of the Secretary of State shall be competent evidence ...agreements other than treaties, and proclamations by the President of such ...
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