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Course Outline
Forecasting R을 이용한 예측
- Forecasting 소개
- 지수 평활법
- ARIMA 모델
- 예측 패키지
예측 패키지
- 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
요약 및 다음 단계
Requirements
- 기초 일반 수학 및 통계 기술
- Programming 언어 권장, 필요 없음
대상
- 데이터 분석가
- Business 정보 전문가
- 예측 프로젝트에 참여하는 통계학자 및 연구원
14 Hours
회원 평가 (5)
트레이너의 지식, 맞춤형, 모든 주제가 다루어짐
eleni - EUAA
Course - Forecasting with R
Machine Translated
잘 생각되고 고급 기획 자료.
Andrew - Office of Projects Victoria - Department of Treasury & Finance
Course - Forecasting with R
Machine Translated
he is patient
Abdul De kock - Vodacom
Course - Forecasting with R
I genuinely liked his knowledge and practical examples.
Irina Tulgara
Course - Forecasting with R
A lot of knowledge - theoretical and practical.
