{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

simulation - Maximizing Generalized Linear Mixed Model...

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

View Full Document Right Arrow Icon
Sheet1 Page 1 Generating Correlated Random Variables for a Simulation Model Generation of Simulation Input Scenarios Using Bootstrap Methods Perfect Simulation of Conditionally Specified Models Simulation of Nonhomogeneous Poisson Processes with Log Linear Rate Function Discrete Optimization via Simulation Using COMPASS A Simple Simulational Algorithm for Generating Progressive Type-II Censored Samples N. Balakrishnan and R. A. Sandhu Finding Optimal Material Release Times Using Simulation-Based Optimization Path Generation for Quasi-Monte Carlo Simulation of Mortgage-Backed Securities A Simulated Annealing Algorithm with Constant Temperature for Discrete Stochastic Optimization
Image of page 1
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: Maximizing Generalized Linear Mixed Model Likelihoods with an Automated Monte Carlo EM Algorithm Generation of Inverse Gaussian Variates with Given Sample Mean and Dispersion An Easily Programmed Algorithm for Generating Gamma Random Variables An Optimization Algorithm for a Linear Model of a Simulation System On Algorithms for the Nonparametric Maximum Likelihood Estimator of the Failure Function with Censored Data On the Alias Method for Generating Random Variables from a Discrete Distribution Optimal Reproductive Allocation in Annuals and an Informational Constraint on Plasticity Optimization Using Simulated Annealing...
View Full Document

  • Spring '04
  • rg
  • Probability theory, Monte Carlo method, simulation system, correlated random variables, simulated annealing algorithm

{[ 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