Introduction to Forecasting - with Examples

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Topics
00:00 Introduction
00:29 Types of forecasting techniques
03:40 Forecasting accuracy - mean absolute deviation (mad), mean square error (mse), and mean absolute percentage error (mape) calculations using qm for windows
04:20 Example using QM for Windows
05:37 Components of time series (trend, seasonality, cycles, and random variation)
07:05 Moving average and weighted moving average
09:21 Exponential smoothing
10:28 Exponential smoothing with trend adjustment
11:06 Seasonal index
13:05 Example problem and solution, Centered moving average method
15:45 Additive decomposition model, regression with trend and seasonal component
21:09 Monitoring and controlling forecasts

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Thanks for your explaination, i tend to forget it before but now i think im remember it now

hazimrashid

Very detailed and easy to follow. Thank you for methodical and easy to understand synopsis of the standard forecasting techniques!

kennethmillender

#Forecasting

Forecasting is the process of making predictions of the future based on past and present data and most commonly by analysis of trends. A commonplace example might be estimation of some variable of interest at some specified future date. Prediction is a similar, but more general term. 👍 forecasting? #projection??? stocks etc

meda

excuse me mr. rai, could u please send me the paper that support the barrier for MAD tracking control chart, it says -+8 for low volume item and -+4 for high volume item, thank you

ghifariyoga

Can you share whole playlist where you coding in rs studio from scratch on multiple regression or different algorithm of r studio

parth

why are demand rather than sales values used in forecasting please?

yvewoyome

Which tool you were using in this video for forecasting?

anandlodha

Small dought sir
In weight column the value for week 4 is 7.33 or 9.33

belazydocrazy

Little confusing when you try to do it by yourself as need to be case study

sunildutt

Sir use good micro phone, , becoz there is disturbance in audio

ragavm

Bharat Sir...it will be great if you can take a case study on Time series (Exponential smoothing) or ARIMA Methodology in R studio.

vikrantnag

sir volume kam h...audio quality improve kijiyega

akashhooda

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