here for above exponential distribution estimate mean =estimated std deviation =0.35=1/
from above 95% confidence interval for mean " 0.274 <1/ <0.426
or 1/0.426 < <1/0.274
or 2.346 <<3.653
4. A sample of size n-81 is taken from an exponential distribution with the pdf f(x)-Be-6x,...
X denote the mean of a random sample of size 25 from a gamma type distribu- tion with a = 4 and β > 0. Use the Central Limit theorem to find an approximate 0.954 confidence interval for μ, the mean of the gallina distribution. Hint: Use the random variable (X-43)/?7,/432/25. 6. Let Yi < ½ < < }, denote the order statistics of a randon sample of size n from a distribution that has pdf f(z) = 4r3/04, O...
X i , x , X" be a random sample of size n from an exponential distribution with mean ? a) For large sample size, construct a 95% confidence interval for ?? b) If n 30, x 90, give the endpoints for a 90% CI for ?
A random sample of size n, {XI, , X, from an exponential population with mean ?, is to be used to test Ho : ? ?? versus H1 : ??Bo for a given value of ?? (a) Show that the expression for likelihood ratio statistic is ? ( ) eT (b) Show that the critical region of the likelihood ratio test can be written as (c) Without referring to Wilks' theorem (Theorem 9.1.4), show that -2log(A) is approximately dis- tributed...
A random sample of 30 was taken from the random variable X with pdf f(x)=1/2 on the interval [-1,1]. a) µ= b) σ^2 = b)Use the central limit theorem find p(0≤µ≤ 1/5 )approximately.
1. Let X be an iid sample of size n from a continuous distribution with mean /i, variance a2 and such that Xi e [0, 1] for all i e {1,...,n}. Let X = average. For a E (0,1), we wish to obtain a number q > 0 such that: (1/n) Xi be the sample Р(X € |и — 9. и + q) predict with probability approximately In other words, we wish to sample of size n, the average X...
Let X1, X2, ... , Xn be a random sample of size n from the exponential distribution whose pdf is f(x; θ) = (1/θ)e^(−x/θ) , 0 < x < ∞, 0 <θ< ∞. Find the MVUE for θ. Let X1, X2, ... , Xn be a random sample of size n from the exponential distribution whose pdf is f(x; θ) = θe^(−θx) , 0 < x < ∞, 0 <θ< ∞. Find the MVUE for θ.
Let X1 Xn be a random sample from a distribution with the pdf f(x(9) = θ(1 +0)-r(0-1) (1-2), 0 < x < 1, θ > 0. the estimator T-4 is a method of moments estimator for θ. It can be shown that the asymptotic distribution of T is Normal with ETT θ and Var(T) 0042)2 Apply the integral transform method (provide an equation that should be solved to obtain random observations from the distribution) to generate a sam ple of...
4. (6 marks) Consider a random sample of size n from a distribution with pdf f(x:0) 26-1 if 0 1 and zero otherwise; θ 0, Find the UMVUE of 1/θ x
Example 3.6. Take a random sample of size n from an exponential distri- bution with rate parameter XA. 1. Derive an exact 95% confidence interval for X. 2. Suppose your sample is of size 9 and has sample mean 3.93. (a) What is your 95% confidence interval for λ? (b) What is your 95% confidence interval for the population mean? 3. Repeat the above using the CLT approximation (rather than an eract interval
Consider a random sample of size n from the distribution with pdf (In )* f(x; 0) = { 0.c! -, 10, =0,1,... otherwise where 0 > 0. (a) (10 pts) Find a complete sufficient statistic for 0. (b) (10 pts) Using Lehmann-Scheffe theorem, find the UMVUE of Ine. You may need the identity c=