Answer to Question #185092 in Statistics and Probability for SARALA DEVI

Question #185092

1-Let n X1, X2 ....Xn be random sample of size n from a distribution with probability

density function f(x,q)=qxq-1

0, else where.

Obtain a maximum likelyhood

estimator of q.



2- Let , X1, X2 Xn be independently and identically distributed b(1, p) random

variables. Obtain a confidence internal for p using Chebychev’s inequality


1
Expert's answer
2021-05-07T09:11:54-0400
  1. The given Probability density function is-

f(x,q)=qxq1f(x,q)=qx^{q-1}


Taking log on both sides-

logf(x,q)=logqxq1logf(x,q)=logq+(q1)logxlog f(x,q)=logqx^{q-1}\\logf(x,q)=logq+(q-1)logx


Log liklihood function is given by-

L(X1,X2,X3,...,Xn)=logf(x,q)=logq+(q1)logxL(X_1,X_2,X_3,...,X_n)=logf(x,q)=logq+(q-1)log x


The maximum liklihood estimator of q-

ϕML=ϕML(X1,X2,.....,Xn)\phi_{ML}=\phi_{ML}(X_1,X_2,.....,X_n)


2.Confidence interval by chebychev,s inequality is-


P(1pn)<σE2P(|\dfrac{1-p}{n}|)<\dfrac{\sigma}{E^2}


P((XE[X])kσ)1k2P(|(X-E[X])|\ge k\sigma)\le \dfrac{1}{k^2}


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