time series

(Statistics) statistics a series of values of a variable taken in successive periods of time

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Noun

time series - a series of values of a variable at successive times

statistics - a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters

statistic - a datum that can be represented numerically

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References in periodicals archive

Singular Spectrum Analysis (SSA) has been successfully applied to extract the trend and periodic signals from a time series without prior knowledge (Broomhead and King, 1986; Vautard and Ghil, 1989; Golyandina et al., 2001).

SINGULAR SPECTRUM ANALYSIS FOR HETEROGENEOUS TIME SERIES BY TAKING ITS FORMAL ERRORS INTO ACCOUNT

A time series is a set of data that is sequentially observed over time.

Clustering Algorithm for Time Series with Similar Shapes

Time series models are often used in hydrology studies to model streamflow series in order to make predictions and to generate synthetic series which are inputs for the analysis of complex water resources systems (see, for example, Salas et al., 1980, 1982; Hosking, 1984; Hipel& McLeod, 1994; Montanari et al., 1997; Hasebe et al., 2000).

Seasonal Hydrological and Meteorological Time Series/Series de Tiempo hidrologicas y meteorologicas estacionales

* In time series analysis exponential smoothing methods are popular because they are straightforward and the whole forecasting procedure can happen automatically [2].

A Comparison of Two Parameter Same Slope Seasonality and Holt-Winters Exponential Smoothing models

ABSTRACT: This study focuses on forecasting of stock prices for Flying Cement Company using Time Series analysis using Autoregressive Integrated Moving Average (ARIMA) model,.

FORECASTING CEMENT STOCK PRICES USING ARIMA MODEL: A CASE STUDY OF FLYING CEMENT INDUSTRY

For this aim, three exponential smoothing methods, Holt, Brown and Damped Trend were executed to economically model the time series data.

FORECASTING PRODUCTION OF SOME OIL SEED CROPS IN TURKEY USING EXPONENTIAL SMOOTHING METHODS

This book explains introductory time series analysis, presenting models and methods with examples, as well as features of realizations from various models and the use and interpretation of results based on the models.

Applied Time Series Analysis With R, 2nd Edition

However, a gap exists in these studies as they neglect the set of prices of agricultural products to favor structure capturing in the study time series (HASSANI & MAHMOUDVAND, 2013).

Multivariate analysis and neural networks application to price forecasting in the Brazilian agricultural market/Aplicacao de analise multivariada e redes neurais para previsao de precos no mercado agricola brasileiro