Media Summary: Ricardo J. Serrano leads a discussion of Chapter 13 ("Some practical forecasting issues") from Ricardo J. Serrano presents Chapter 7 ("Time series regression models") from Welcome to Timeseries! Today's episode is an interview with Rob Hyndman, Professor of Statistics at Monash University in ...

Forecasting Principles Practice 10 6 Lagged Predictors - Detailed Analysis & Overview

Ricardo J. Serrano leads a discussion of Chapter 13 ("Some practical forecasting issues") from Ricardo J. Serrano presents Chapter 7 ("Time series regression models") from Welcome to Timeseries! Today's episode is an interview with Rob Hyndman, Professor of Statistics at Monash University in ... Federica Gazzelloni leads a discussion of the exercises from Chapter 8 ("Exponential smoothing") from In this educational video in the series of "Business Struggling with financial data? Learn the basics in just 30 minutes—for FREE! Sign up now!

This video shows how to calculate exponential smoothing and the Mean Squared Error. Finding the best α using Excel: ...

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Forecasting Principles & Practice: 10.6 Lagged predictors
Forecasting Principles & Practice: 2.7 Lag plots
Forecasting Principles & Practice: 7.6 Forecasting with regression
Forecasting Principles & Practice: 10.3 Forecasting with dynamic regression
Forecasting: Principles and Practice: Some practical forecasting issues (fpp02 13)
Forecasting Principles & Practice: 5.6 Forecasting using transformations
Forecasting: Principles and Practice: Time series regression models (fpp02 7)
Forecasting: Principles and Practice
Forecasting Principles & Practice: 9.8 ARIMA forecasting
Forecasting Principles and Practice
Forecasting: Principles and Practice: Exponential smoothing (fpp02 8)
Business Forecasting Principles: 10. Forecast Evaluation: Point Forecasts
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