Seminar 217, Risk Management: Simple Random Sampling: Not So Simple
Risk Seminar
Feb 7, 2017, 11:00 AM - 01:00 PM | 639 Evans Hall | Happening As Scheduled
Speaker: Kellie Ottoboni, UC Berkeley (Speaker - Featured)
Abstract:
The theory of inference from simple random samples (SRSs) is fundamental in statistics; many statistical techniques and formulae assume that the data are an SRS. True random samples are rare; in practice, people tend to draw samples by using pseudo-random number generators (PRNGs) and algorithms that map a set of pseudo-random numbers into a subset of the population.