Very fully-explained and well-orgainized video! in addition there is a smaller written error in 14:07: inside the right pink square on the third line, instead of lambda(x), it should be h(x).
I just wanted to take a moment to thank you for this incredible video. I'm currently studying this topic for my university course, and your clear and concise explanations have made a huge difference in my understanding. Your teaching style is engaging and informative, and it has helped me grasp concepts that I was struggling with before. I truly appreciate the effort you put into creating these educational videos. Thank you so much for sharing your knowledge and making learning enjoyable! ❣❣❣
Dear Professor, this is extremely helpful. Also, let me know if you upload the video on the ancillary and complete statistics including the Basu's theorem :)
Thank you so much sir very very helpful 🙏....but when will we use pdf of order statistics to find the sufficient estimator for a parameter please do video on this topic 🙏
Hello, Dr. Garg. May I know which software you are using to display your steps after clicking? I see this is a good one that saves time and carries a good presentation.
@@DrHarishGarg sir ye sab dekh liya aur videos upload kijiye estimation topic mai method of moments mle all these and testing of hypothesis mai most powerful test ye sab please 🙏
assalam alaikum sir ..sir kindly upload a lecture on jackknife technique for reducing the amount of biasedness of a baised estimator.and some examples also including poisson distribution
If not able to find h(x) you put it as 1. Then why not there in example 3? And what is the purpose of simply write 1? Is this only for a subjective exam.?
Thanks Alot but i have a confusion that when we will apply the T=max(x1,x2...xn) and when w use T=min(x1,x2,.....xn) order statistic??? Please ans me tomorrow is my exam.
The explanations for the examples was not good enough. I had to scratch my head a lot of times to understand a few and still have unresolved doubts over some.
thank you d/r keep going....!!! all your videos have good quality and thank you again.
Very fully-explained and well-orgainized video!
in addition there is a smaller written error in 14:07: inside the right pink square on the third line, instead of lambda(x), it should be h(x).
I just wanted to take a moment to thank you for this incredible video. I'm currently studying this topic for my university course, and your clear and concise explanations have made a huge difference in my understanding. Your teaching style is engaging and informative, and it has helped me grasp concepts that I was struggling with before. I truly appreciate the effort you put into creating these educational videos. Thank you so much for sharing your knowledge and making learning enjoyable! ❣❣❣
I'm so happy I've discovered your channel! All the best.
Thanks... My pleasure. . keep sharing with others too.
Thank you sir. Learning from you is a blessing in disguise 🙏
Dear Professor, this is extremely helpful. Also, let me know if you upload the video on the ancillary and complete statistics including the Basu's theorem :)
Thank you sir...this video was really helpful...make more such videos....liked 👍, shared and subscribed ❤😊
this man about to save me a whole year of uni... great video mate
Dear professor, this is extremely helpful for my stimation and detection course. Thank you very much!
Its my pleasure... Kindly share with other fellows too.
Thank you so much sir very very helpful 🙏....but when will we use pdf of order statistics to find the sufficient estimator for a parameter please do video on this topic 🙏
Thank you sir from Bangladesh
thanks alot, I have maximize some things
Thanks sir❤
Thank you so much
Hello, Dr. Garg. May I know which software you are using to display your steps after clicking? I see this is a good one that saves time and carries a good presentation.
Very well explained sir
Thanks and welcome
14:34 Sir pdf of gamma distribution of 2nd kind me beta denominator me nhi numerator me tha toh yha aapne denominator me kyu likha h ??
Thank you sir
Sir, it would be of great help, if you could pls cover ISI Mstat PYQ. You explain everything simply and that is very much needed there!
super explanation
Hi sir, could you explain again as to ,how do you identify if an eq is unable to have a sufficient statistic ?
Which book do you use for this?
Very helpful sir please upload video on sampling distribution
It is already available.... Check the playlist "Testing of Hypothesis " or "Probability&Statistics"
See here
Testing of Hypothesis: ruclips.net/p/PLO-6jspot8AIdl7W-Lh7PFsevgzCxNb3h
@@DrHarishGarg sir ye sab dekh liya aur videos upload kijiye estimation topic mai method of moments mle all these and testing of hypothesis mai most powerful test ye sab please 🙏
Sir uniform distribution mein agar limit h 2theta
Sir please basu theorem minimal sufficiency ka bhi gate pyq upload kriye
very useful for me sir
Sir plz reply
Agr normal distribution mei N(u, 1) diya ho toh sufficient efficient of mean kya hoga?.... Plzzz reply sir
sum(xi)
thanku Sir ..your contents makes concepts crystal clear ..
is there any way to get your notes? I mean the screen slides
assalam alaikum sir ..sir kindly upload a lecture on jackknife technique for reducing the amount of biasedness of a baised estimator.and some examples also including poisson distribution
If not able to find h(x) you put it as 1. Then why not there in example 3? And what is the purpose of simply write 1? Is this only for a subjective exam.?
This and that!
Thanks Alot but i have a confusion that when we will apply the T=max(x1,x2...xn) and when w use T=min(x1,x2,.....xn) order statistic???
Please ans me tomorrow is my exam.
Thats depends on the domain of x that whether x
@@DrHarishGarg Shukria 🧡
Simply just reading the PPT only
Means u didn't understand it
❤
just before exam 😅
5:46
By one like of me it becomes 1k 🎉
one of the worst explanation
The explanations for the examples was not good enough. I had to scratch my head a lot of times to understand a few and still have unresolved doubts over some.
Absolutely not
It is great and so simple ❤❤❤ thanks a lot sir
You remove a huge burden off my shoulder .❤❤❤
Thank you sir
Thank you sir
Thank you sir