Suppose is a random sample from , where and .
(a) Find a minimal sufficient statistic for .
(b) Find a complete statistic for .
(c) Show that is independent of , where .
the following two images have the solution with explanations...so check them out!!
image 1:
image 2:
thats all...do thumbs up this helped
good luck :)
Suppose is a random sample from , where and . (a) Find a minimal sufficient statistic...
#4. Let , , and be a random sample from f. Find the UMVUE for We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this image
Let be a sample (size n = 1) from the exponential distribution, which has the pdf where is an unknown parameter. Let's define a statistic as . Is a sufficient statistic for ? We were unable to transcribe this imagef(x: λ) = Xe We were unable to transcribe this imageT(X) = 11>2 T(X) We were unable to transcribe this image
STATISTICS. REGIONS OF CONFIDENCE Let be a simple random sample (n) of the density , Find the confidence interval of 95% for the variance of the population. Thank you for your explanations. We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this image
0Let X1, ....., Xn be iid Random variable from a Uniform distribution with pdf given by . (1) Is the 2-dimensional statistics T1(X) = (X(1), X(n)) a complete sufficient statistics? Justify your answer (2) Is the one-dimensional statistic a complete sufficient statistic? Justify your answer We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this image
Random variables are independent of each other, where i=1,2,3 and that Calculate P(X1<X2<X3) X, ~ e.rp(λ.) We were unable to transcribe this image
For , let be the order statistics of independent draws from . (1) Find the PDF of . (2) Compute . We were unable to transcribe this imageWe were unable to transcribe this image(2n+1 Unif -1,1 We were unable to transcribe this imageWe were unable to transcribe this image
are iid ( ) and and is known. Finding the MOM(method of moments) of . We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this image
(6) . We pick samples randomly from the population which distributes uniformly between the interval of. . Answer the following questions regarding the median of the samples Show that the distribution which follows has the distribution as shown below. Find the expected value of . Show = . When , show that is the consistent estimator of . We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imagen = 2m...
are order statistics from same distribution . Sample size is 3. Define and Finding marginal density of . We were unable to transcribe this imageplz) = 1 We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this image
are order statistics from same distribution . Sample size is 3. Define and Finding joint density of and . We were unable to transcribe this imageplz) = 1 We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this image