Consider a situation that a population of size M has been partitioned into to N primary units of sizes Mi 's. In the first stage, an unequal probability sample of n proportional to size (pi=Mi/M) is taken from primary units. In the second stage, an unequal probability sample of size mi is selected from unit i and the variable of study, yij, and auxiliary variable xij observed. The inclusion probability of unit j in primary unit i is π j|i (j conditional i). Derive, an estimator of, μy, population mean, and its variance estimator when Ratio estimator used in the second stage.
Consider a situation that a population of size M has been partitioned into to N primary...
Consider a situation that a population of size M has been partitioned into to N primary u first stage, an unequal probability sample of n proportional to size (pt M/M) is taken fr its of sizes Mis. In the om primary units. In the second stage, e, an unequal probability sample of size m is selected from unit i and the variable of study un ary variable observed. The inclusion probability of unit j in primary unit i is my...
CLUSTER SAMPLING WITH ESTIMATION Suppose a population of size N is divided into K- N/M groups of size M. We select a sample of size n -km the following way: » First we select k groups out of K groups by simple random sampling . We then select m units in each group selected on the first step by simple random sampling . The estimate of the population mean is the average Y of the sample. Let μί be the...
. A random sample of size n is taken from a population that has a distri- bution with density function given by 0, elsewhere Find the likelihood function L(n v.. V ) -Using the factorization criterion, find a sufficient statistic for θ. Give your functions g(u, 0) and h(i, v2.. . n) - Use the fact that the mean of a random variable with distribution function above is to find the method of moment's estimator for θ. Explain how you...
Suppose a simple random sample of size n=1000 is obtained from a population whose size is N=1,000,000 and whose population proportion with a specified characteristic is p=0.61. (a) What is the probability of obtaining x = 640 or more individuals with the characteristic? P(x≥640) = ___________ ******* There's a second part but I can't see it until I answer this part. Can you help me with the second part after part a is completed?
1. Consider a random sample of size n from a population with probability density function: х fx(x,0) = e 02 exig for x >0,0 >0. (a) Find the Cramer-Rao lower bound for the variance of an unbiased estimator of (b) Find the methods of moment estimator for @ and verifies that it attains the lower bound
please just answer E.), F.) and G.) In a clinical study, the required sample size has been calculated to be a known constant k The number of eligible participants who need to be invited to join the study in order to achieve this sample size can be described by a random variable with a negative binomial distribution In study i with target sample size k, the number who need to be invited is described by X for ki=1, 2, an...
1. Consider the following population of N 5 sampling units with characteristic of interest y Sampling unit i1 2 3 4 5 6 24 18 12 30 yi (a) (2 marks). Compute the population mean μ and the population variance ? 4 marks). List all ten simple random samples of size n 3 and compute the sample mean ý and the sample variance s2 of each sample. (c) (3 marks). Verify numerically that tively. That is, verify that E(j) and...
Consider a random experiment that has as an outcome the number x. Let the associated variable be X, with true (population) and unknown probability density function fx(x), mean ux. and variance σχ2. Assume that n-2 independent, repeated trials of the random experiment are performed, resulting in the 2-sample of numerical outcomes xi and x2 Let estimate μ X of true mean #xbe μχ = (x1+x2)/2. Then the random variable associated with estimate μ xis estimator random 1. a. Show the...
1. Consider a random experiment that has as an outcome the number x. Let the associated random variable be X, with true (population) and unknown probability density function fx(x), mean ux, and variance σχ2. Assume that n 2 independent, repeated trials of the random experiment are performed, resulting in the 2-sample of numerical outcomes x] and x2. Let estimate f x of true mean ux be μΧ-(X1 + x2)/2. Then the random variable associated with estimate Axis estimator Ax- (XI...
1. Suppose a population of N individuals has true (unknown) numerical measurements yi, y2, …YN (repeats allowed). The unknown population mean 1S yj One way to estimate the unknown population mean μ is to decide on a number nS N, then successively randomly select one individual at a time, observe and record the quantity of interest for that individual, put that individual back in, and repeat the process n times. Then form the mean of the recorded n observations. Prove...