Results 1 to 10 of about 20,293,735 (305)
SSRN Electronic Journal, 2006 Any series of observations ordered along a single dimension, such as time, may be thought of as a time series. The emphasis in time series analysis is on studying the dependence among observations at different points in time. What distinguishes time series analysis from general multivariate analysis is precisely the temporal order imposed on the ...
Francis X. Diebold +2 more
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American Journal of Orthodontics and Dentofacial Orthopedics, 2022
This article describes a simple method of applying a time series analysis to sample data sets using a free and open statistical software program, Language R.Records of new patients who visited 2 different university-affiliated orthodontic departments in 2 different countries were collected.
Richard E. Donatelli +3 more
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This article describes a simple method of applying a time series analysis to sample data sets using a free and open statistical software program, Language R.Records of new patients who visited 2 different university-affiliated orthodontic departments in 2 different countries were collected.
Richard E. Donatelli +3 more
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2007 IEEE International Geoscience and Remote Sensing Symposium, 2007
A consistent data acquisition interval among multi-temporal images is necessary to accurate landscape change detection and temporal-series signatures. Orbital images are difficult to maintain a temporal precision due to the different interferences that generate missing data.
Osmar Abílio de Carvalho Jr. +3 more
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A consistent data acquisition interval among multi-temporal images is necessary to accurate landscape change detection and temporal-series signatures. Orbital images are difficult to maintain a temporal precision due to the different interferences that generate missing data.
Osmar Abílio de Carvalho Jr. +3 more
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Journal of Classification, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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International Statistical Review / Revue Internationale de Statistique, 1976
Summary This paper surveys time-series methods developed and used in the fields of statistics, engineering, operation research and economics. It will describe each of the major methods now in existence and synthesize them into an integrated whole by pointing out similarities and differences existing among them.
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Summary This paper surveys time-series methods developed and used in the fields of statistics, engineering, operation research and economics. It will describe each of the major methods now in existence and synthesize them into an integrated whole by pointing out similarities and differences existing among them.
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2018
Analysis of epidemic time series is a large endeavor because of the richness of dynamical patterns and plentitude of historical data (Rohani and King 2010). A wide range of tools are used, some of which are borrowed from mainstream statistics other of which are “custom made.” The classic “mainstream” methods belong to two categories: the so-called time-
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Analysis of epidemic time series is a large endeavor because of the richness of dynamical patterns and plentitude of historical data (Rohani and King 2010). A wide range of tools are used, some of which are borrowed from mainstream statistics other of which are “custom made.” The classic “mainstream” methods belong to two categories: the so-called time-
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2017
In this chapter, we describe three different synthetic datasets that we considered to evaluate the performance of the reviewed recurrent neural network architectures in a controlled environment. The generative models of the synthetic time series are the Mackey–Glass system, NARMA, and multiple superimposed oscillators.Those are benchmark tasks commonly
Bianchi, Filippo Maria +4 more
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In this chapter, we describe three different synthetic datasets that we considered to evaluate the performance of the reviewed recurrent neural network architectures in a controlled environment. The generative models of the synthetic time series are the Mackey–Glass system, NARMA, and multiple superimposed oscillators.Those are benchmark tasks commonly
Bianchi, Filippo Maria +4 more
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Characterization of time series for analyzing of the evolution of time series clusters
Expert Systems with Applications, 2015We propose a characterization of time series for multivariable temporal databases.For the characterization of time-series we used the level and trend components.The characterization the time-series is adequate for long and short periods of time.Our proposal allows analysis the evolution of the groups and objects.We developed an R-based script for ...
Ana P. Serra, Luis E. Zárate
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