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What is the Variance of the estimator $ hatμ_n = frac1n(5X_1+ sum_i=2^n-1X_i-3X_n)$



Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)How can I show that sample mean has the smallest variance?Finding the variance of a statistic.What is the variance of an estimator in terms of central momentsVariance of MLE $sigma^2$ estimatorRoot estimator to get variance?Variance of variance MLE estimator of a normal distributionVariance of unbiased variance estimator for binomial distributionVariance of estimator (log/binomial/exponential)Calculating variance of an estimatorDetermine the variance of estimator T










0












$begingroup$


I am given the random sample X1, . . . , Xn, which is identically and independently distributed over f(X), for a population density f(X) with finite mean μ and variance $σ_2$. I am given the estimator
$ hatμ_n = frac1n(5X_1+ sum_i=2^n-1X_i-3X_n)$
for the unknown mean of the population.



I need to calculate the variance of $hatμ_n$ and compare is to $bar X_n$. This is causing me a little trouble.



I haven't manipulated Variance much, so I might have made a simple error here:



$Var(hatμ_n)= Var(frac1n(5X_1+ sum_i=2^n-1X_i-3X_n))\
=frac1n^2 (5^2Var(X_1)+sum_i=2^n-1Var(X_i)+(-3^2Var(X_n)))\
frac1n^2 (25Var(X_1)+sum_i=2^n-1Var(X_i)+9Var(X_n))$



I know I need to get this to compare to $fracσ^2n$ ...I just don't know how to get it into that form.



If anyone could please help to clarify if I am right so far, and how to get it into a comparable form, I'd be very grateful.










share|cite|improve this question











$endgroup$
















    0












    $begingroup$


    I am given the random sample X1, . . . , Xn, which is identically and independently distributed over f(X), for a population density f(X) with finite mean μ and variance $σ_2$. I am given the estimator
    $ hatμ_n = frac1n(5X_1+ sum_i=2^n-1X_i-3X_n)$
    for the unknown mean of the population.



    I need to calculate the variance of $hatμ_n$ and compare is to $bar X_n$. This is causing me a little trouble.



    I haven't manipulated Variance much, so I might have made a simple error here:



    $Var(hatμ_n)= Var(frac1n(5X_1+ sum_i=2^n-1X_i-3X_n))\
    =frac1n^2 (5^2Var(X_1)+sum_i=2^n-1Var(X_i)+(-3^2Var(X_n)))\
    frac1n^2 (25Var(X_1)+sum_i=2^n-1Var(X_i)+9Var(X_n))$



    I know I need to get this to compare to $fracσ^2n$ ...I just don't know how to get it into that form.



    If anyone could please help to clarify if I am right so far, and how to get it into a comparable form, I'd be very grateful.










    share|cite|improve this question











    $endgroup$














      0












      0








      0


      1



      $begingroup$


      I am given the random sample X1, . . . , Xn, which is identically and independently distributed over f(X), for a population density f(X) with finite mean μ and variance $σ_2$. I am given the estimator
      $ hatμ_n = frac1n(5X_1+ sum_i=2^n-1X_i-3X_n)$
      for the unknown mean of the population.



      I need to calculate the variance of $hatμ_n$ and compare is to $bar X_n$. This is causing me a little trouble.



      I haven't manipulated Variance much, so I might have made a simple error here:



      $Var(hatμ_n)= Var(frac1n(5X_1+ sum_i=2^n-1X_i-3X_n))\
      =frac1n^2 (5^2Var(X_1)+sum_i=2^n-1Var(X_i)+(-3^2Var(X_n)))\
      frac1n^2 (25Var(X_1)+sum_i=2^n-1Var(X_i)+9Var(X_n))$



      I know I need to get this to compare to $fracσ^2n$ ...I just don't know how to get it into that form.



      If anyone could please help to clarify if I am right so far, and how to get it into a comparable form, I'd be very grateful.










      share|cite|improve this question











      $endgroup$




      I am given the random sample X1, . . . , Xn, which is identically and independently distributed over f(X), for a population density f(X) with finite mean μ and variance $σ_2$. I am given the estimator
      $ hatμ_n = frac1n(5X_1+ sum_i=2^n-1X_i-3X_n)$
      for the unknown mean of the population.



      I need to calculate the variance of $hatμ_n$ and compare is to $bar X_n$. This is causing me a little trouble.



      I haven't manipulated Variance much, so I might have made a simple error here:



      $Var(hatμ_n)= Var(frac1n(5X_1+ sum_i=2^n-1X_i-3X_n))\
      =frac1n^2 (5^2Var(X_1)+sum_i=2^n-1Var(X_i)+(-3^2Var(X_n)))\
      frac1n^2 (25Var(X_1)+sum_i=2^n-1Var(X_i)+9Var(X_n))$



      I know I need to get this to compare to $fracσ^2n$ ...I just don't know how to get it into that form.



      If anyone could please help to clarify if I am right so far, and how to get it into a comparable form, I'd be very grateful.







      estimation variance






      share|cite|improve this question















      share|cite|improve this question













      share|cite|improve this question




      share|cite|improve this question








      edited Mar 26 at 9:43







      MWalters

















      asked Mar 23 at 21:04









      MWaltersMWalters

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