{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

3044hw5s09 - handout should include printouts from the...

Info icon This preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
1 ISyE 3044 – Spring 2009 Homework #5 — Due Monday, 6 April 1. Consider the following 20 pseudo-random numbers (read from left to right): 0.82 0.40 0.86 0.53 0.55 0.45 0.38 0.58 0.40 0.39 0.59 0.60 0.05 0.46 0.88 0.50 0.41 0.66 0.01 0.56 (a) Use the first two numbers to generate two observations from the normal distribution with mean 0 and standard deviation 2. (b) Use as many numbers as you need (starting from the first one and going from left to right and then down) to generate an observation from the Poisson distribution with λ = 5. (c) Apply the inverse-transform method to derive a formula for generating realizations from the distribution with density function f ( x ) = 2(1 x ), 0 x 1. 2. The attached file “3044hw5s09.dat” contains repair repair times for some computing equipment (in minutes). Use ExpertFit c circlecopyrt to find a distribution that fits the data. Your
Image of page 1
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: handout should include printouts from the graphical and formal goodness-of-Ft tests, as well as 1-2 brief paragraphs explaining your Fndings. 3. The following Fve observations are observed repair times for an airplane engine: 3.6, 23.3, 31.5, 17.9, 4.0 (a) Assume that the data come from the gamma distribution. Use the method of mo-ments to estimate the shape and scale parameters. (b) Use the Kolmogorov-Smirnov test with type I error 0.10 to assess the hypothesis “the data come from the Weibull distribution with shape parameter equal to 2 and scale parameter equal to 0.2”. 4. Exercise 6.2 from the text GSWA. 5. Exercise 6.3 from the text GSWA. 6. [Will not be graded] Exercises 1, 2, 6, 8, 11, 15, 22, and 23 from Chapter 8 of BCN&N....
View Full Document

{[ snackBarMessage ]}

What students are saying

  • Left Quote Icon

    As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

    Student Picture

    Kiran Temple University Fox School of Business ‘17, Course Hero Intern

  • Left Quote Icon

    I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

    Student Picture

    Dana University of Pennsylvania ‘17, Course Hero Intern

  • Left Quote Icon

    The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

    Student Picture

    Jill Tulane University ‘16, Course Hero Intern