Evaluation of Monte Carlo Generation of Long-Tailed Symmetric and Contaminated Symmetric Distributions.
Generating random variables from a specific distribution, whether symmetric or asymmetric, is a concern of investigators involved in Monte Carlo studies. Of particular interest to those concerned with robustness is the generation of contaminated symmetric distributions such as those used in the Princeton Robustness Study. A reliable composite uniform U(0,1) generator is described and algorithms for transforming U(0,1) to symmetric long-tailed and contaminated symmetric distributions are given. Goodness-of-fit tests and graphical illustrations demonstrate the adequacy of the empirical distributions.
Published In/Presented At
Stark, D. B., & Reed, J. 3. (1990). Evaluation of Monte Carlo generation of long-tailed symmetric and contaminated symmetric distributions. Computer Methods And Programs In Biomedicine, 31(3-4), 195-200.
Community Health and Preventive Medicine | Health Services Research | Medicine and Health Sciences
Department of Community Health and Health Studies