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ALLSTAT  February 2014

ALLSTAT February 2014

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Subject:

REMINDER: Statistics in Regulation, 24th Feb 2014

From:

"[log in to unmask]" <[log in to unmask]>

Reply-To:

[log in to unmask]

Date:

Mon, 17 Feb 2014 17:26:10 +0000

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (218 lines)

Hi all,

Just a brief reminder that the next Royal Statistical Society 
Business and Industrial Section meeting is being held next Monday at 
the RSS in London. Details below.



Please register through the RSS website if you are coming to help us 
plan catering arrangements - all welcome!



David



>Statistics in Regulation

>

>RSS Section/Study Group Meeting

>

>Monday 24 February 2014, 03:30pm - 06:00pm

> 

>Location Royal Statistical Society, 12 Errol Street, London, EC1Y 

>8LX

>

>

>

>Banking Regulation: Basel II/III and Statistical Modelling

>

>Gareth Peters (Department of Statistical Science, University College 

>London; London, UK)

>

>

>

>This presentation will discuss the role that statistical modelling 
has 

>played in the regulation of retail banks throughout the world, since 

>the onset of the banking regulations known as Basel II. In 
particular 

>basic properties of statistical models used in the context of what 
is 

>known as the Advanced Measurement Approach will be discussed. The 

>influence that statisticians should have in these areas when 
deciding 

>capital reserves for banks and the significance of such decisions on 

>the banking structure will be overviewed. This will be followed by 
some 

>examples.

>

> 

>

>Handling risks and uncertainty in decision-making

>

>Leslie Pendrill (SP Metrology, Sweden)

>

> 

>

>No measurement is perfect. This can mean that decisions based on 

>measurement, for instance in the regulatory context, can be 
incorrect, 

>particularly where the test result is close to a specification 
limit. 

>Imperfect measurement - expressed in terms of limited reliability 
and 

>finite measurement uncertainty - will mask to some extent the actual 

>product dispersion of interest. This talk will review the current 
state-

>of-the-art of including measurement uncertainty in conformity 

>assessment, where particular research challenges arise in 
qualitative 

>and multivariate situations, for example, as arise in healthcare 

>regulation.

>

> 

>

>Statistics and Regulation, Inside and Outside

>

>Tony O'Hagan (Department of Probability and Statistics, University 
of 

>Sheffield)

>

>

>

>An industry regulator aims to place such restrictions on the 
industry's 

>activity as will reduce or minimise the risk of undesirable 

>consequences for society at large. Where there is risk there must be 

>statisticians! Sometimes the statisticians are inside regulation, 

>working for the regulator, and sometimes they are outside, working 
for 

>companies needing to satisfy the regulator. Sometimes both.

>

>In this talk, I will sketch some applications that I have been 
involved 

>with, both inside and outside regulation, including nuclear power, 

>food, water, pharmaceuticals and railways.

>

> 

>

>Open to both RSS and non-RSS members - this is a free seminar but 

>please register through the RSS website to help us plan numbers for 

>catering.

>

>

>

>Tea and coffee will be served after the first talk

>

>

>

>For further details, contact David Smallbone ([log in to unmask]

>com)

>

>

>

>Organising Group(s) RSS Business & Industrial Section

>

>

>http://www.statslife.org.uk/events/events-calendar/icalrepeat.detail/2014/02/24/149/-/statistics-in-regulation

>

>
>

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