One million thank you's! I learned this stuff back in college, but when it recently came up at work (almost a decade later🤦♀️) I really needed a refresher/crash course! 🤷♀️😭 Thank you, one million and one times! 🙏🤗👍
You're a great teacher sir! I learned this material about a year ago but it's always good to refresh your skills if you don't use them everyday. You're a genius, keep them coming :) I really appreciate it.
Thank you for your summary. My company asked me to learn how to be a forecast analyst. I am looking for a way to master this material. Your explanation was very helpful. You are a good teacher. Congratulations on a job well done.
Very informative...I've one question, why didn't you take the MAD= 6.16 in calculating the Tracking signal based on the formula.. and what is the difference between the two?
Thanks for informative videos. Could you tell further that out all error accuracy determination methods you explained which one is most effective? Is it MAD ,MAPE or tracking signal?
Tracking signal is a method to judge if the current forecasting method is good enough, so per se, it is not a method to determine forecast accuracy. Between MAD and MAPE I don;t think it matters what you choose. Since MAPE is in per cent, you can compare accuracy across products. For MAD, it is very easy to calculate and understand.
Thank you, Nice lesson. recently, I'd like to do the Time series analysis-trend about climate such as rainfall, temperature for predicting 5 years, 10 years by using mann kendall test method. Could you please give me some example how to predict rainfall or temperature in future 5 years and 10 years using mann kendall test method? Thank you so much for your kind.
If this is an academic question - we have many research papers that deal with the issue, for example www.sciencedirect.com/science/article/pii/S0169207016000121 And, if this a real life problem, I need more data, for MAPE may not be the right measure for you.
Excellent and simple explanation of Forecasting Methods.... Many Thanks
One million thank you's! I learned this stuff back in college, but when it recently came up at work (almost a decade later🤦♀️) I really needed a refresher/crash course! 🤷♀️😭
Thank you, one million and one times! 🙏🤗👍
One million and two thank yous for leaving such a wonderful message! Glad that the video could help you.
You're a great teacher sir! I learned this material about a year ago but it's always good to refresh your skills if you don't use them everyday. You're a genius, keep them coming :) I really appreciate it.
Thanks a lot Alan. It really feels good to receive such feedback...makes the effort worth it!!
Thank you for your summary. My company asked me to learn how to be a forecast analyst. I am looking for a way to master this material. Your explanation was very helpful. You are a good teacher. Congratulations on a job well done.
awesomeeeee!!!!! very very simple to understand
Simple and effective, Thank you!
Very informative...I've one question, why didn't you take the MAD= 6.16 in calculating the Tracking signal based on the formula.. and what is the difference between the two?
Thanks a lot & hope you more success
Thanks for informative videos. Could you tell further that out all error accuracy determination methods you explained which one is most effective? Is it MAD ,MAPE or tracking signal?
Tracking signal is a method to judge if the current forecasting method is good enough, so per se, it is not a method to determine forecast accuracy. Between MAD and MAPE I don;t think it matters what you choose. Since MAPE is in per cent, you can compare accuracy across products. For MAD, it is very easy to calculate and understand.
@@piyushashah1 What benchmark of tracking signal or in other words what number of tracking signal will tell me about quality of my forecast?
@@TheMunishk en.wikipedia.org/wiki/Tracking_signal
Excellent
Thank you Sir. So helpful work you are doing. Keep it up sir :)
Thank you,
Nice lesson.
recently, I'd like to do the Time series analysis-trend about climate such as rainfall, temperature for predicting 5 years, 10 years by using mann kendall test method.
Could you please give me some example how to predict rainfall or temperature in future 5 years and 10 years using mann kendall test method?
Thank you so much for your kind.
Great videos Sir, really appreciate it.
it was very clear sir.... just didnt understand whats the tracking signal?
hi Piyush how to choose a forecasting method? I mean on what qualitative basis?
Very helpful!
thank you sir
Please do some videos related to SAP APO, IBP, HANA
how do you calculate mape when some actuals are zero
If this is an academic question - we have many research papers that deal with the issue, for example www.sciencedirect.com/science/article/pii/S0169207016000121
And, if this a real life problem, I need more data, for MAPE may not be the right measure for you.
very helpful
Please sir ..share the excel sample
Very helpful!