time series

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a series of values of a variable at successive times

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References in periodicals archive ?
Box, George; Jenkins, Gwilym (1970) Time Series Analysis: Forecasting and Control.
Trends in Statin Use in Seniors 1999 to 2013: Time Series Analysis. PLoS One.
The two monthly series of 95 numbers of both, fatal and non-fatal victims were analyzed for time trends using Autoregressive integrated moving average model (ARIMA), and Vector auto regression (VAR), time series analysis models.
Matsumoto and Ikeda [11] examined the demand forecasting of an auto-part using time series analysis. The objective of the study was to examine the effectiveness of forecasting for remanufactured products by time series analysis.
For the time series analysis we used the Hector software (Bos et al., 2012).
(25.) Bowie C and Prothero D, Finding causes of seasonal diseases using time series analysis, International Journal of Epidemiology, 10 (1) (1981) 87-92.
There are many other good texts devoted to regression and time series analysis, and others devoted to other multivariate techniques.
Rather than treat fish growth and reproduction rates as static quantities, Sugihara says, the ideal management scheme would nimbly adapt to the predictions that nonlinear time series analysis makes.
Schreiber, Nonlinear Time Series Analysis, Cambridge University Press, New York, NY, USA, 1997.
In [7], it is believed that the combination of neural networks and traditional time series analysis is good for forecasting short-term logistic demand for an LTL carrier.
The time series analysis is helpful to compare the actual performance and analyze the cause of variations.
Within this overall high-transmission setting, substantial spatial and temporal heterogeneity is apparent from our monthly district-level time series analysis. Several characteristics of the epidemic cycle in this setting could help inform public health efforts to prevent and control dengue.
In recent years, research of infectious diseases like tuberculosis has been enriched by the application of statistical techniques such as time series analysis (9), generalized linear models (such as linear regression) (10), discontinuous piecewise linear regression or piecewise regression (11,12), Markov models (10), survival analysis, categorical data analysis, regression analysis and classification tree, generalized estimating equation (GEE), models for longitudinal data, spatial statistics (13), Bayesian methods, meta-analysis, hierarchical models, neural networks, among others; allowing the description of the incidence of these diseases and to make predictions for specific populations.
These new instances are said to be backed by solid-state disks (SSDs) and are able to deliver in excess of 120,000 read input and output operations (IOPS) and over 80,000 write IOPS, making them ideally suited for transaction processing, time series analysis, and mobile and streaming applications that require low latency access to storage systems that can deliver tens of thousands of IOPS, the company said.
This study applies time series analysis to divide Chinese real estate market into three sub-periods based on real estate sales price indexes from January 1999 to November 2009.