This presentation discusses and illustrates the basic principles of ARIMA modelling for forecasting a non-seasonal (or seasonally adjusted), time series.
Пікірлер: 21
@rishant9936 Жыл бұрын
Such a well articulated and to the point video . Really deserves more views . Thanks
@user-te5gf2oz2t4 ай бұрын
very clear and logical explanation! Thank you
@HADIIRAJPUT-jc1sf5 ай бұрын
such a great guider about the data analysis , like it 😍
@pipertripp Жыл бұрын
Crackin' presentation. I got a lot out of that, thank you!
@lorenzoleongutierrez792724 күн бұрын
Bravo 👏, great video . Thanks a lot sir for sharing your knowledge 😊
@sharmilasenguptachowdhry5093 жыл бұрын
Your voice is so wonderful, thank you for the explanation.
@luisaferrari68253 жыл бұрын
very useful video, thank you!
@amyrodriguez2845 Жыл бұрын
Great video, thank you.
@HAIYIZHU-qu5ktАй бұрын
very useful!!!!!!!!!!!!!!!!!!!! Love you
@samirhajiyev69052 жыл бұрын
Simple explanation.thanks
@surensubra698910 ай бұрын
thank you sir it was very useful 👍
@erasmussimons36117 ай бұрын
Very insightful and well structured video but ones you applied the differentials and the afc showed some of the data being unstationary ...you suggested an ARIMA mode of (3,1,0)...whats the bases of that suggestion
@sau0022 ай бұрын
Nice presentation.
@user-rl3bz2wf9c4 жыл бұрын
a very nice and warming voice
@cupdhyaya4 жыл бұрын
What is name of the book from where example is taken?
@kumijustice87414 жыл бұрын
what happens if at 1st difference all the data are not significant
@Outlines2 жыл бұрын
where does splitting data into train and test sets fit into this ? I thought we only select the model with lowest Aicc or BIC based on how the training set performs on the test set?
@pipertripp Жыл бұрын
I don't think that approach is appropriate with time series data because the observations are not independent and you can't simply extract some of the data into different sets or you would destroy the integrity of the data.
@yopiandrew6224 жыл бұрын
many resource i read show that the sign (-) in the MA equation actually sign(+) . now i am confused can you explain it sir :)
@mydataanalysissite8784 жыл бұрын
It doesn't really matter which signs are used in this general specification of the ARIMA model. Some authors/texts use minus signs as I have done here, others use plus signs. When a model is estimated by the software package the appropriate signs on the coefficient estimates will be determined, and those will be used in the equation that will be used for forecasting.
@shubhamgarg9540 Жыл бұрын
Nice lecture sir. Thanks but i have a doubt and wishes to share with you. Can you please share your email id to share the problem in ARIMA modelling, I face.