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This explanation is nothing but AWESOME. Thank you Dr. Garg.
Many thanks dear... Keep watching and sharing
Sir, the integration of x^(-3) is wrong at 10:03
Yeah true,,it's X^-2/-2
yeah its his mistake
sir, f(x)={(3theta^3)/(x^4) for MM is theta=(2barX)/3
10:06 integration of x^--3 will x^-2/-2
Thank you sir...this video was really helpful...make more such videos...liked 👍 shared and subscribed 😊❤
Amazing explanation...👍
Thank you for amazing explanation sir 🙏
Excellent explanation sir🎉
Thank you so much,I really find this very helpful 🙏
perfect amount of examples
Thank you for putting many examples :)
You're very welcome! Thanks for comment and watching... Hope you can share with others too
U r too good at explaining topics 👍🙏
Thnx alot
Dr Harish,can you kindly recommend textbooks on inference for a university student?
I think a mistake was done in integrating 1/x3. The answer is -1/x2 not -2/x4.
Could you post for minimum chi square and modified minimum chi square?
thank you somuch sir
Sir Integration ki limits Samajh me nahi aayi .
thanks sir
sir is this examples are enough to get good marks in any exams?? and your explanation is very good sir......
Yes... Thats are enough.
thank you sir@@DrHarishGarg
Sir please upload video on method of minimum chi square
Ok. Will try to upload
why are you calling equation parameters as moments? arent the parameters the coefficients of the variables?
Sir can you share some vedio of CUET NTA statistics pg plzz 🙏
15:12 how the limit is 0 to infinity??? I think it is 0 to theta.... Am i correct
Yes you are correct, because value from theta to infinity is 0.
yes u are correct. the limit will be from 0 to theta because it is a uniform distribution and here we are using a as '0' and b as 'theta'. the limit of unifrom distribution is from a to b so as per the question the limit will be '0' to 'theta'.
😊
Ye video phle upload ho gya hota to mai v pass ho gya hota
🥲 sir , sorry to say but aap Hindi m bhi to bol skte hai .....
Explanation was wayy too fast...
Problems7:31
BAYES DECISION THEORY nxt topic
Baaki video and content kaafi acha hai
Thanks.
Classic
This explanation is nothing but AWESOME. Thank you Dr. Garg.
Many thanks dear... Keep watching and sharing
Sir, the integration of x^(-3) is wrong at 10:03
Yeah true,,it's
X^-2/-2
yeah its his mistake
sir, f(x)={(3theta^3)/(x^4) for MM is theta=(2barX)/3
10:06 integration of x^--3 will x^-2/-2
Thank you sir...this video was really helpful...make more such videos...liked 👍 shared and subscribed 😊❤
Amazing explanation...👍
Thank you for amazing explanation sir 🙏
Excellent explanation sir🎉
Thank you so much,I really find this very helpful 🙏
perfect amount of examples
Thank you for putting many examples :)
You're very welcome! Thanks for comment and watching... Hope you can share with others too
U r too good at explaining topics 👍🙏
Thnx alot
Dr Harish,can you kindly recommend textbooks on inference for a university student?
I think a mistake was done in integrating 1/x3. The answer is -1/x2 not -2/x4.
Could you post for minimum chi square and modified minimum chi square?
thank you somuch sir
Sir Integration ki limits Samajh me nahi aayi .
thanks sir
sir is this examples are enough to get good marks in any exams?? and your explanation is very good sir......
Yes... Thats are enough.
thank you sir@@DrHarishGarg
Sir please upload video on method of minimum chi square
Ok. Will try to upload
why are you calling equation parameters as moments? arent the parameters the coefficients of the variables?
Sir can you share some vedio of CUET NTA statistics pg plzz 🙏
15:12 how the limit is 0 to infinity??? I think it is 0 to theta.... Am i correct
Yes you are correct, because value from theta to infinity is 0.
yes u are correct. the limit will be from 0 to theta because it is a uniform distribution and here we are using a as '0' and b as 'theta'. the limit of unifrom distribution is from a to b so as per the question the limit will be '0' to 'theta'.
😊
Ye video phle upload ho gya hota to mai v pass ho gya hota
🥲 sir , sorry to say but aap Hindi m bhi to bol skte hai .....
Explanation was wayy too fast...
Problems
7:31
BAYES DECISION THEORY nxt topic
Baaki video and content kaafi acha hai
Thanks.
Classic