MLE for Uniform Population || Limitation of MLE Procedure || (In Hindi)

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[@himanshujha7919]

guys this is best statistics playlist on youtube

[@k.k.kolumn]

You explain so well sir thnk u so much

[@John_635]

Show that by an example of each case where the estimate a) NOT UNBIASED BUT NOT CONSISTENT b) UNBIASED BUT NOT CONSISTENT 2)derive the confidence interval for the proportion of a Binomial population 3) How do you test the equality of variances of two normal populations? 4) Derive the maximum likelihood estimate of the parameter of Normal population 5)Examine whether f(x) = (1+theeta)x^theeta, 0

[@engrzohaibadil4757]

Indicator function ko kesy use kren gy MLE find krny k lye

[@chinmaysvlog3544]

A random sample of size n is drawn from a uniform population over ( ₩-1/3,₩+1/3). Obtain maximum likelihood estimator of ₩.

[@nandinisingh5250]

What is the likelihood equation with assuming thita is a real no. L(X1,X2,....,Xn;thita)

[@deepshikhadeka9207]

Sir upload method of least squares and method of minimum chi square

[@anmolmohanty7537]

How min value of beta is xn How to know it?

[@anandmalviya_97]

Sir... Aapne last vala btaya h.... Alpha cap = Xn (largest no.) hona chahiye Bitta cap = X¹ (smallest no.) hona chahiye.... Tabhi L maximum hoga... Plz btao.. Confusion hua h

[@AshishKGor]

Yes I am also confused here

[@AshishKGor]

Yes, I am also confused here.

[@anandmalviya_97]

@@AshishKGor 😂😂

[@swagatamkonar]

Nhi bhai alpha cap ka lagest value X¹ hai & beta ka min value Xn Alpha ka range (- infinity) se X¹ tak hai or beta ka Xn se (+infinity) tak isliye X¹ alpha ka maximum value ho rha. Xn toh sample ka max value hai naki alpha ka

[@anujpandey942]

@@swagatamkonar yes

[@meenakshipatilmeenakshipat9303]

Least square estimation method explain

[@statslearning]

Will upload soon

[@nandinisingh5250]

Hiw to obtain ML estimate of bita,if sample values are given as 0.3,.8,.27,.35,.62,.55.plz rply

[@statslearning]

MLE of beta in case of uniform distribution is the largest observation in the sample.. in this sample the largest observation is 0.80 so the mle of beta will be 0.80.

[@nandinisingh5250]

@@statslearning thnq so much sir for this 🥰🥰🥰

[@nandinisingh5250]

@@statslearning and if the uniform distribution is not give for eg . Pdf is given as f(x)=(beta+1)x^beta.inthis case what would be the estimate if above sample values are given

[@statslearning]

This is the case of beta distirbution of first kind.. in first step find the mle and then put the values of observations..