moving-average forecasting
1Autoregressive moving average model — In statistics, autoregressive moving average (ARMA) models, sometimes called Box Jenkins models after the iterative Box Jenkins methodology usually used to estimate them, are typically applied to time series data.Given a time series of data X t …
2Forecasting — is the process of estimation in unknown situations. Prediction is a similar, but more general term. Both can refer to estimation of time series, cross sectional or longitudinal data. Usage can differ between areas of application: for example in… …
3Telecommunications forecasting — All telecommunications service providers perform forecasting calculations to assist them in planning their networks.Farr R.E., Telecommunications Traffic, Tariffs and Costs – An Introduction For Managers, Peter Peregrinus, 1988.] Accurate… …
4Tropical cyclone rainfall forecasting — involves using scientific models and other tools to predict the precipitation expected in tropical cyclones such as hurricanes and typhoons. Knowledge of tropical cyclone rainfall climatology is helpful in the determination of a tropical cyclone… …
5Tropical cyclone forecasting — Part of a series on Tropical cyclones …
6Tropical cyclone track forecasting — involves predicting where a tropical cyclone is going to track over the next five days, every 6 to 12 hours. The history of tropical cyclone track forecasting has evolved from a single station approach to a comprehensive approach which uses a… …
7economic forecasting — Prediction of future economic activity and developments. Economic forecasts, which range from a few weeks to many years, are widely used in business and government to help formulate policy and strategy. Macroeconomic forecasts predict the course… …
8прогнозирование с использованием скользящего среднего — — [Л.Г.Суменко. Англо русский словарь по информационным технологиям. М.: ГП ЦНИИС, 2003.] Тематики информационные технологии в целом EN moving average forecasting …
9Exponential smoothing — is a technique that can be applied to time series data, either to produce smoothed data for presentation, or to make forecasts. The time series data themselves are a sequence of observations. The observed phenomenon may be an essentially random… …
10Technical analysis — Financial markets Public market Exchange Securities Bond market Fixed income Corporate bond Government bond Municipal bond …
