probably a bit late but it's the derivate of an inverse: d(1/x)/dx = -1/x². More generally using chain rule for any a > 0 d(1/ax)/dx = -a/a²x² = -1/ax²
Well Done.. But what is the difference between a joint pdf and likelihood function? (There should be a reason for multiplying pdfs to obtain L(theta).... ) Question: Who's Awesome? Answer: You are... (*_*)
Thank you so much❤
Nice explaination 👍
Can you upload for if mean is unknown?
thank you so much.
Find MLE of mean for normal distribution please tell urgent
Plz elaborate the derivative of the 2nd part how the derivative of sigma square become sigma square whole square plz elaborate it will really help me
probably a bit late but it's the derivate of an inverse: d(1/x)/dx = -1/x². More generally using chain rule for any a > 0 d(1/ax)/dx = -a/a²x² = -1/ax²
Unbiased part is wrong, unbiased estimator will have n-1 in the denominator.
Well Done.. But what is the difference between a joint pdf and likelihood function? (There should be a reason for multiplying pdfs to obtain L(theta).... )
Question: Who's Awesome?
Answer: You are... (*_*)
Well I would love to learn from you. Would you please elaborate the reason?
ab main famous ho jayunga
Yeh to hona hi thaa