预测培训

预测培训

Forecasting培训,预

预测大纲

代码 名字 期限 概览
mrkfct Market Forecasting 14小时 Audience This course has been created for analysts, forecasters wanting to introduce or improve forecasting which can be related to sale forecasting, economic forecasting, technology forecasting, supply chain management and demand or supply forecasting. Description This course guides delegates through series of methodologies, frameworks and algorithms which are useful when choosing how to predict the future based on historical data. It uses standard tools like Microsoft Excel or some Open Source programs (notably R project). The principles covered in this course can be implemented by any software (e.g. SAS, SPSS, Statistica, MINITAB ...) Problems facing forecasters Customer demand planning Investor uncertainty Economic planning Seasonal changes in demand/utilization Roles of risk and uncertainty Time series methods Moving average Exponential smoothing Extrapolation Linear prediction Trend estimation Growth curve Econometric methods (casual methods) Regression analysis using linear regression or non-linear regression Autoregressive moving average (ARMA) Autoregressive integrated moving average (ARIMA) Econometrics Judgemental methods Surveys Delphi method Scenario building Technology forecasting Forecast by analogy Simulation and other methods Simulation Prediction market Probabilistic forecasting and Ensemble forecasting Reference class forecasting
frcr Forecasting with R 14小时 This course allows delegate to fully automate the process of forecasting with R Forecasting with R Introduction to Forecasting Exponential Smoothing ARIMA models The forecast package Package 'forecast' accuracy Acf arfima Arima arima.errors auto.arima bats BoxCox BoxCox.lambda croston CV dm.test dshw ets fitted.Arima forecast forecast.Arima forecast.bats forecast.ets forecast.HoltWinters forecast.lm forecast.stl forecast.StructTS gas gold logLik.ets ma meanf monthdays msts na.interp naive ndiffs nnetar plot.bats plot.ets plot.forecast rwf seasadj seasonaldummy seasonplot ses simulate.ets sindexf splinef subset.ts taylor tbats thetaf tsdisplay tslm wineind woolyrnq

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