课程编码
frcr
课程时长
14 小时 通常来说是2天，包括中间休息。
要求
Basic general maths and statistics skills
Programming in any languages recommended but not necessary
课程概览
该课程允许代表使用R完全自动化预测过程
Machine Translated
课程大纲
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
.jpg "european molecular biology laboratory (embl)")
.jpg "european organization for nuclear research (cern)")
.jpg "international air transport association (iata)")
