eprintid: 401
rev_number: 11
eprint_status: archive
userid: 7
dir: disk0/00/00/04/01
datestamp: 2011-11-29 12:37:45
lastmod: 2015-05-29 20:01:22
status_changed: 2011-11-29 12:37:45
type: report
metadata_visibility: show
item_issues_count: 0
creators_name: Draper, D.
creators_name: McKail, C.
creators_name: Allwright, D.J.
title: Convergence of Risk Estimates Obtained from Highly Skewed Distributions
ispublished: pub
subjects: medicine
studygroups: esgi30
companyname: AEA
full_text_status: public
abstract: In radiological exposure, risk is the probability of a serious health effect as a result of that exposure. This is proportional to the expectation of annual dose. The aim of probability safety assessment is to estimate the estimated dose as a function of time, however there is no expert opinion of the PDF of the dose information on which comes from the observed distribution. Errors arise in estimations when this is highly skewed.

The problem is to estimate this error given various assumptions on the form of the distribution.
date: 1997
citation:   Draper, D. and McKail, C. and Allwright, D.J.  (1997) Convergence of Risk Estimates Obtained from Highly Skewed Distributions.  [Study Group Report]     
document_url: http://miis.maths.ox.ac.uk/miis/401/1/aea.ps