/Example 15-44. For the double Poisson distribution :p(x) = P(X = x) =1 em1.m;* 1 em2.m;*х!;x = 0, 1, 2, ...%3D%3D2°2х!show that the estimates for m, and m2 by the method of moments are : µi´±Vµ¿ – µí´ - Hi2.

Answered: Image /qna-images/answer/44dbd445-6a0a-4cd7-8e89-e480bdfa79ad.jpg

Answered: JExample 15-44. For the double Poisson…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

1i. Suppose that a structure can withstand a flood with a peak discharge no greater than 1,950 m3/s and it has been designed to have an economic life span of 100 years. Determine the risk of failure assuming the Extreme Value Distribution when the mean and standard deviation of the annual flood series are 410m3/s and 280 m3/s, respectively. 1ii. What is the probability that at least one flood of ARI 50y (T=50y) will occur during the 30 year design life of a flood control project? 1iii. Consider a small, temporary (3 year design life) flood mitigation dam designed to contain a 20 year flood event. What is the risk that it will be overtopped at least once in the design life.
Let X1, X2, ..., Xn be a random sample from a distribution that has pdff(x,0) = 62 x e-8x x 20 , where e is an unknown parameter, then the MLE for 0 is Select one: a. b. d. N|IX
(17') The random variable X obeys the distribution Binomial(n,p) with n=3, p=0.45. (a) Write Px(1), the PMF of X. Be sure to write the value of Px(T) for all z from -o to +oo. (b) Sketch the graph of the PMF Px[x]. (c) Find E[X], the expected value of X. (d) Find Var[X], the variance of X.
Please see attached image for my question.
#20
4. Suppose X₁, ..., Xn are iid from a distribution with the pdf (e-(2-0) x > 0 f(x; 0) = for some 0 € R. Find the MLE of 0. 34 35 We went PATRULLA 15 2 271 34000 3 envelar 05352 25000- 0 otherwise
Let X1, X2 . , X, represent a random sample from a Rayleigh distribution with the following pdf. n f(x; 0) /(20) x > 0 (a) Determine the maximum likelihood estimator of 0. (Ex,?) / n x/ n (EX;) / 2n x/ 2n O (Ex,?) / 2n Calculate the estimate from the following n = 10 observations on vibratory stress of a turbine blade under specified conditions. (Round your answer to three decimal places.) 17.67 8.71 9.14 16.47 17.69 5.69 5.28 14.56 6.21 5.81 (b) Determine the mle of the median of the vibratory stress distribution. [Hint: First express the median in terms of 0.] o (1.38636) O 1.3863ô 1.38630 38630 1.38630
4
Q5 Find the variance for the PDF px(x) = e-«/2, x > 0.
do part b,c,d
Please do the following questions with full handwritten working out
part iv (i already asked other parts)

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS

JExample 15-44. For the double Poisson distribution : p(x) = P(X = x) =! "1.m,* 1 e™2.m, x ! %3D x!;x= 0, 1,2, ... show that the estimates for m1 and m2 by the method of moments are : µ1´±Vµí - Hí - Hi'2.