PRACTICAL TIME SERIES FORECASTING WITH R: A HANDS-ON GUIDE, SECOND EDITION provides an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The book introduces popular forecasting methods and approaches used in a variety of business applications
Time Series Forecasting with R A Beginnerβs Guide
β Scribed by Dr.Arunachalam Rajagopal
- Year
- 2020
- Tongue
- English
- Leaves
- 93
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
01 Simple Moving Average (SMA)
02 Exponential Moving Average (EMA)
03 Holtwinterβs Models without trend
04 Holtwinterβs Models with trend
05 Holtwinterβs Seasonal Models
06 ARIMA
07 Seasonal ARIMA (SARIMA)
08 ARIMAX / Dynamic Regression
Annexure-I: Dataset
Annexure-Ii: Reference and Bibliography
π SIMILAR VOLUMES
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