simulation - Maximizing Generalized Linear Mixed Model...

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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
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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...
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This note was uploaded on 05/31/2011 for the course GRG r taught by Professor Rg during the Spring '04 term at Georgia Gwinnett College.

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