Hello, this is akter. I like the way you make a video for people. I'm looking for a tutor for math, do think you can give a Time if yes please let me know thank you. also thanks for making a very helpful video for people.
Hi Sir,theese videos are really very useful can make some videos regarding Reliability Engineering, MTTF MTBF for repairable and non repairable , distribution and example.
Thank you for your valuable comments. Sure, I will do it once critical topics in Six sigma will be covered. Thank you for your patience and valuable support 🙏
Can we generate a k-number of random distance using gaussian distribution? I want this to relate with a road network dataset, If I have to generate random objects in a road network that follows centroid distribution, what things I should consider? A road network has the following attribute "Edge_Id, Start_Node, End_node, Edge_Length" Suppose we take one edge randomly and set it as mean, how can we generate k-random distance around it so that it follows Gaussian distribution?
I was looking for real life examples to understand these topics exactly. And here I found them! Thanks a lot!
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Sir ji, great video - simple, useful, understanding 👌
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Please share it with your friends and colleagues.
Just what I wanted! thanks for the clear explanation
Thank you for your valuable comments.
Hello, this is akter. I like the way you make a video for people. I'm looking for a tutor for math, do think you can give a Time if yes please let me know thank you. also thanks for making a very helpful video for people.
Thank you so much for your valuable comments and appreciation!
Can you please elaborate it?
Perfect and on point explanation
Thank you so much for your valuable comments and appreciation!!!
Hi Sir,theese videos are really very useful can make some videos regarding Reliability Engineering, MTTF MTBF for repairable and non repairable , distribution and example.
Thank you for your valuable comments.
Sure, I will do it once critical topics in Six sigma will be covered.
Thank you for your patience and valuable support 🙏
Really good explanation. Can you explain Laplace Distribution? It will will be very helpful.
Thank You :)
Thank you for your valuable comments...
I will do it once current topics will be covered.
very simple n nice explanation
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Thank You!
Your welcome and thank you for your valuable comments.
Can we generate a k-number of random distance using gaussian distribution?
I want this to relate with a road network dataset, If I have to generate random objects in a road network that follows centroid distribution, what things I should consider?
A road network has the following attribute "Edge_Id, Start_Node, End_node, Edge_Length"
Suppose we take one edge randomly and set it as mean, how can we generate k-random distance around it so that it follows Gaussian distribution?
Please connect the statistic to business with application you just read as you are reading a book
Thank you for your valuable comments.
That will be next part, but we should know basic first.