is uniformly distributed on the interval
The pdf of the distribution of is
The expected value of is the first theoretical moment, (using the standard result for uniform distribution)
The first sample moment is the sample mean
a) Equating the first sample moment to the first theoretical moment
Since there is only one unknown parameter,
ans: the method of moment estimator for is
b) Using the sample data, we can get the moment estimate as
ans: A moment estimate of is 12.492
That means we can say that the sample is drawn from a uniform distribution in the interval (11.492,13.492)
1. Let Xi, . . . , Xn be a random sample from a uniform distribution on the interval (e-1,0 + 1). (a) (10 points) Find a moment estimator for 0 (b) (10 points) Use the following data to obtain a mome...
5.2.3. Let X..X be a random sample from a uniform distribution on the interval (0-1,0+1). (a) Find a moment estimator for (b) Use the following data to obtain a moment estimate for 11.72 12.81 12.09 13.47 12.37
Problem 2.1. Let Y1, ...,Yn be a random sample from a uniform distribution on the interval [0 – 1,20 + 1]. a. Find the density function of X = Y;-0 (note that Yi ~ Uf0 - 1,20 + 1]). b. Find the density function of Y(n) = max{Y;, i = 1,...,} c. Find a moment estimator of . d. Use the following data to obtain a moment estimate for 4: 11.72 12.81 12.09 13.47 12.37.
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Let Xi, X2,... , Xn denote independent and identically distributed uniform random variables on the interval 10, 3β) . Obtain the maxium likelihood estimator for B, B. Use this estimator to provide an estimate of Var[X] when r1-1.3, x2- 3.9, r3-2.2
Problem 1 Let Xi, ,Xn be a random sample from a Normal distribution with mean μ and variance 1.e Answer the following questions for 8 points total (a) Derive the moment generating function of the distribution. (1 point). Hint: use the fact that PDF of a density always integrates to 1. (b) Show that the mean of the distribution is u (proof needed). (1 point) (c) Using random sample X1, ,Xn to derive the maximum likelihood estimator of μ (2...
Let t> 0 and let X1, X2, ..., Xn be a random sample from a Uniform distribution on interval (0,6t) a. Obtain the method of moments estimator of t, t. Enter a formula below. Use * for multiplication, / for division and ^ for power. Use m1 for the sample mean X. For example, 7*n^2*m1/6 means 7n2X/6. 提交答案 Tries 0/10 b. Find E(t). Enter a formula below E(i) 提交答案 Tries 0/10 c. Find Var(t). Enter a formula below. Var() 提交答案...
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