- forecasting by the exponential smoothing
- Контроль качества: прогнозирование путём экспоненциального сглаживания
Универсальный англо-русский словарь. Академик.ру. 2011.
forecasting by the exponential smoothing
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Exponential 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… … Wikipedia
Forecasting — 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… … Wikipedia
adaptive exponential smoothing — A quantitative forecasting technique in which averages derived from historical data are smoothed by a coefficient, which is allowed to fluctuate with time in relation to changes in the demand pattern. The larger the coefficient, the greater the… … Big dictionary of business and management
Telecommunications 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… … Wikipedia
Bullwhip effect — The Bullwhip Effect (or Whiplash Effect ) is an observed phenomenon in forecast driven distribution channels. The concept has its roots in J Forrester s Industrial Dynamics (1961) and thus it is also known as the Forrester Effect . Since the… … Wikipedia
List of statistics topics — Please add any Wikipedia articles related to statistics that are not already on this list.The Related changes link in the margin of this page (below search) leads to a list of the most recent changes to the articles listed below. To see the most… … Wikipedia
Distribution mangagement system — SCADA systems have been a part of utility automation for at least 15 years and contributing to the decision making process of the control rooms. However, majority of the existing solutions are closely related to distribution network data… … Wikipedia
Demand sensing — is a next generation forecasting method that leverages new mathematical techniques and near real time information to create an accurate forecast of demand, based on the current realities of the supply chain. The typical performance of demand… … Wikipedia
Time series — Time series: random data plus trend, with best fit line and different smoothings In statistics, signal processing, econometrics and mathematical finance, a time series is a sequence of data points, measured typically at successive times spaced at … Wikipedia
Predictive analytics — encompasses a variety of techniques from statistics and data mining that analyze current and historical data to make predictions about future events. Such predictions rarely take the form of absolute statements, and are more likely to be… … Wikipedia
Nonlinear regression — See Michaelis Menten kinetics for details In statistics, nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination of the model parameters and depends on one or… … Wikipedia
