Let X denote the proportion of allotted time that a randomly selected student spends working on a certain aptitude test. Suppose the pdf of X is f(x; 0) = { (0+1)x0, 0≤x≤1 0, otherwise where -1< 0. A random sample of ten students yields data x₁ = 0.92, x2 = 0.79, x3 = 0.90, x4 = 0.65, x5 = 0.86, x6 = 0.47, x7 = 0.73, x8 = 0.97, x9= 0.94, x10 = 0.77. (a) (b) Use the method of moments to obtain an estimator of 0, and then compute the estimate for this data. Obtain the maximum likelihood estimator of 0, and then compute the estimate for the given data. 35.923 NOV zoom 18 # #P חי C $ G4 R MacBook Pro G Search or type URL % 005 6> & 87 ☆ W T Y U 8 9 0 1 0 0
Let X denote the proportion of allotted time that a randomly selected student spends working on a certain aptitude test. Suppose the pdf of X is f(x; 0) = { (0+1)x0, 0≤x≤1 0, otherwise where -1< 0. A random sample of ten students yields data x₁ = 0.92, x2 = 0.79, x3 = 0.90, x4 = 0.65, x5 = 0.86, x6 = 0.47, x7 = 0.73, x8 = 0.97, x9= 0.94, x10 = 0.77. (a) (b) Use the method of moments to obtain an estimator of 0, and then compute the estimate for this data. Obtain the maximum likelihood estimator of 0, and then compute the estimate for the given data. 35.923 NOV zoom 18 # #P חי C $ G4 R MacBook Pro G Search or type URL % 005 6> & 87 ☆ W T Y U 8 9 0 1 0 0
Chapter5: Exponential And Logarithmic Functions
Section5.5: Exponential And Logarithmic Models
Problem 4ECP
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