<--- Back to Details
First PageDocument Content
Data analysis / Forecasting / Exponential smoothing / Autoregressive integrated moving average / Seasonality / Time series / Regression analysis / Demand forecasting / Statistics / Time series analysis / Statistical forecasting
Date: 2010-03-31 11:25:20
Data analysis
Forecasting
Exponential smoothing
Autoregressive integrated moving average
Seasonality
Time series
Regression analysis
Demand forecasting
Statistics
Time series analysis
Statistical forecasting

With high frequency data (e

Add to Reading List

Source URL: www.forecasters.org

Download Document from Source Website

File Size: 216,22 KB

Share Document on Facebook

Similar Documents

Statistics / Control theory / Signal processing / Time series models / Engineering / Statistical theory / Estimation theory / Data assimilation / Weather forecasting / Autoregressive integrated moving average / Mathematical optimization / Autoregressive model

Nonlinear Processes in Geophysics, 12, 515–525, 2005 SRef-ID: npgEuropean Geosciences Union © 2005 Author(s). This work is licensed under a Creative Commons License.

DocID: 1rftO - View Document

Statistics / Time series analysis / Time series models / Signal processing / Noise / Covariance and correlation / Autoregressive integrated moving average / Autoregressivemoving-average model / Autocorrelation / Autoregressive model / Time series / Forecasting

Forecasting Daily and High-frequency Data M´elard, Guy Abstract Examples of high-frequency time series arise in many fields of applications, like daily sales in stores, energy consumptions by hours in office buildings,

DocID: 1r48z - View Document

Statistics / Time series models / Noise / Time series analysis / Probability theory / Regression analysis / Signal processing / Autoregressive integrated moving average / Autoregressivemoving-average model / Recurrence relation / Linear regression / Autoregressive model

ABOUT MANUSCRIPTS FOR IJ ITA

DocID: 1r3dB - View Document

Software / Computing / Data management / 4GL / Business intelligence / Data warehousing / Numerical software / SAS / Variable / Dependent and independent variables / Time series / Autoregressive integrated moving average

WORKING WITH SAS ® DATE AND T IME FUNCTIONS Andrew H. Karp Sierra Information Services, Inc. San Francisco, California USA Introduction Many SAS® applications require that operations

DocID: 1r0qV - View Document

Statistics / Estimation theory / Statistical inference / Time series models / Signal processing / Statistical theory / Autoregressive integrated moving average / Maximum likelihood estimation / Estimator / Autoregressive model

SSDBMEfficient In-Database Maintenance of ARIMA Models Technische Universität Dresden Database Technology Group

DocID: 1qWv2 - View Document