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Time Series Analysis [PDF]

open access: yesSSRN 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
core   +7 more sources

Time series analysis

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
openaire   +2 more sources

Time series interpolation

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
openaire   +1 more source

Cluster of Time Series

Journal of Classification, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

A Survey of Time Series

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.
openaire   +1 more source

Time-Series Analysis

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-
openaire   +1 more source

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