32. a. Let X., X be a random sample from a uniformdistribution on [0, 0]. Then the mle of is= Y = max(X). Use the fact that Y≤ y iff eachX₁y to derive the cdf of Y. Then show that the pdfof Y=max(X) isnyn-1fx(y) =0≤ y ≤ 0Өп0otherwiseb. Use the result of part (a) to show that the mle isbiased but that (n + 1)max(X)/n is unbiased.

Part (a) Objective:Derive the CDF (Cumulative Distribution Function) of Y=max⁡(Xi).Derive the PDF…

Answered: 32. a. Let X., X be a random sample…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Suppose that X₁, X₂, Xn and Y₁, Y2, . Yn are independent random samples from populations with means ₁ and ₂ and variances of and o2, respectively. Show that X - Y is a consistent estimator of μ₁ - 2.
Ee.6.
Let X1,..., X10 be a random sample of size 10 from a N(u, o²) population. Suppose 10 Y =(X; - 4)? i=1 Find the probability that the random interval Y Y 20.5' 3.25 includes the point o?.
Let the following simple random sample X1, X2, · · , X11 following: 1. Binomial pmf. (11, ¾); 2. Uniform pmf; 3. Uniform pdf (0, a); 4. Exponential pdf with (µ). Find the corresponding pmf/pdf of Y1 , Y4, Y7 and F(Y;) where Yi < Y½ < .. < Y6 < ..< Yı1.
Consider the one-way analysis of variance model Xij = µ + a; + Eij, i= 1,.., m, j= 1,..., ni, where ɛij ~ N(0,0²) are independent. Let n= n1 + · ·+ nm, ... ni 1 ni 1 X;. >Xii for i = 1,..., m, and X. = - ΣΣΧ. ni j=1 i=1 j=1 (a) Show that SS(TO) = SS(T) + SS(E), where SS(TO) = E E i=12j=1 (Xij – X..)², m m ni SS(T) Σι (X.-Χ.) and SS(E) -ΣΣ (Χ- X.) . i=1 i=1 j=1
Let Y₁, T₂, T3, T4, Is and X₁, Xe, Xq be Independent and normally From distributed random Sampits populations with mtans U₁ = 2 and 4₂ = 8 and Variances 0² = 5 and 0₂2₂²² = k respectively. Suppost P(x = √ > 10) = 0.02275, find the of 2 0₂²² = k· that Value
Let XXN(u. 16). How much should the sample size he for testing HeiH = 24 rs. He = 25 ata = 0.025 and ß = 0.409 (a) 77 (b) 48 (c) 35 (d) 28 (e) None
If S,? and S2? are variances of independent random samples of size n1=21 from N(u,,0) and n2=24 from N(µ,,0² ) n2=24. Find the value of b for P 3/X,
Let X1,X2.,X, and Y1,Y2,.Yn be two random sample of size n from a normal independent distributions Var(X)=1 and Var(Y)=20?. Let U = E-1(X; – X)² and W = E1(Y; – Y)? W a. What is the sampling distribution of the statistic U + 202 b. If the 90th percentile of the statistic (U + 202 is 33.20, what is the sample size n?
The quality characteristic of a product Y consists of three components X1, X2, and X3. The distributions of these components are normal with means 100, 2, 1 and variances 1, 1, 1 respectively. The specifications of the product are 90 ± 8. If Y= X1 + -7X2 + -9X3. Products that are below the lower specification limit are scrapped. Find the proportion of scrapped products = Ф(z).
Show that the characteristic function of Laplace distribution ƒ(x) = 1=1/√e ²¹x²₁ е - -∞0 < x < ∞ 1 is C (0) = 1+0² Find also the mean, the variance and mean deviation about the mean. 11.
Page 264, 4.4.12

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