Sign in
Statistics and uncertainty
Other   Open access

Statistics and uncertainty

Patrick L. Gurian
Drexel University. Department of Civil, Architectural, and Environmental Engineering. Faculty Research and Publications.
Drexel University
01 Dec 2007
pdf
idea_1965_OBJ140.59 kBDownloadView
Open Access

Abstract

This chapter provides a review of concepts from probability and statistics that are useful for risk assessment. It begins with a review of probability density distribution functions, then covers how these functions are used as models for variability and uncertainty in risk assessment, describes how these functions are fit to it particular cases by estimating parameters, and describes one method, bootstrapping, for quantifying uncertainty in these parameter estimates.

Metrics

6 File views/ downloads
1 Record Views

Details