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Subject:

Re: The Joy of Data, tonight bbc4 9pm

From:

"Moore, Robert" <[log in to unmask]>

Reply-To:

Moore, Robert

Date:

Fri, 22 Jul 2016 19:24:04 +0000

Content-Type:

text/plain

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Parts/Attachments

text/plain (1 lines)

Nigel I asked my son about this (he lives in South Tyrol). He replied 
 
I can get DVDs 
I can watch some thing on youtube 
there is a bbc iplayer for Europe [must be used on a locally (ie not UK) registered computer - RM]. 
 
 
Hope this helps 
Robert 
 
 
 
 
 
Professor Robert Moore 
School of Sociology and Social Policy 
Eleanor Rathbone Building 
The University of Liverpool 
L69 7ZA 
 
Telephone and fax: 44 (0) 1352 714456 
________________________________________ 
From: email list for Radical Statistics [[log in to unmask]] on behalf of Nigel Waters [[log in to unmask]] 
Sent: 22 July 2016 16:56 
To: [log in to unmask] 
Subject: Re: The Joy of Data, tonight bbc4 9pm 
 
The trailer/teaser for this programme looked to be quite wonderful but the show itself, as with others in the series such as The Joy of Statistics, is only available in the UK because of "rights issues". You would think that the BBC would want to sort this out if only for marketing purposes. Does anyone on the list know how folks living in the rest of the world might get hold of these programmes? 
 
Nigel 
 
________________________________ 
From: email list for Radical Statistics <[log in to unmask]> on behalf of Macfarlane, Alison <[log in to unmask]> 
Sent: Wednesday, July 20, 2016 10:32:35 AM 
To: [log in to unmask] 
Subject: FW: The Joy of Data, tonight bbc4 9pm 
 
 
 
-----Original Message----- 
From: Matz David [mailto:[log in to unmask]] 
Sent: 20 July 2016 16:37 
To: [log in to unmask] 
Subject: The Joy of Data, tonight bbc4 9pm 
 
Subject: The Joy of Data, tonight bbc4 9pm 
 
Everyone 
 
‘The Joy of Data’ is on bbc4 9pm tonight http://www.bbc.co.uk/programmes/b07lk6tj 
 
A witty and mind-expanding exploration of data, with mathematician Dr Hannah Fry. This high-tech romp reveals what data is and how it is captured, stored, shared and made sense of. Fry tells the story of theengineers of the data age, people most of us have never heard of despite the fact they brought about a technological and philosophical revolution. 
 
For Hannah, the joy of data is all about spotting patterns. Hannah sees data as the essential bridge between two universes - the tangible, messy world that we see and the clean, ordered world of maths, where everything can be captured beautifully with equations. 
 
The film reveals the connection between Scrabble scores and online movie streaming, explains why a herd of dairy cows are wearing pedometers, and uncovers the network map of Wikipedia. What's the mystery link between marmalade and One Direction? 
 
The film hails the contribution of Claude Shannon, the mathematician and electrical engineer who, in an attempt to solve the problem of noisy telephone lines, devised a way to digitise all information. Shannon singlehandedly launched the 'information age'. Meanwhile, Britain's National Physical Laboratory hosts a race between its young apprentices in order to demonstrate how and why data moves quickly around modern data networks. It's all thanks to the brilliant technique first invented there in the 1960s by Welshman Donald Davies - packet switching. 
 
But what of the future? Should we be worried by the pace of change and what our own data could be used for? Ultimately, Fry concludes, data has empowered all of us. We must have machines at our side if we're to find patterns in the modern-day data deluge. But, Fry believes, regardless of AI and machine learning, it will always take us to find the meaning in them. 
 
Sorry for any cross posting, and enjoy 
 
David 
RSS Official Statistics section 
[log in to unmask] 
All opinions are personal and independent of any official view of the Home Office 
 
-----Original Message----- 
From: A UK-based worldwide e-mail broadcast system mailing list [mailto:[log in to unmask]] On Behalf Of allstat automatic digest system 
Sent: 19 July 2016 00:01 
To: [log in to unmask] 
Subject: allstat Digest - 17 Jul 2016 to 18 Jul 2016 (#2016-176) 
 
There are 8 messages totaling 1809 lines in this issue. 
 
Topics of the day: 
 
  1. Anonymisation Decision-making Framework published today (open access) (2) 
  2. [Due Date: 20 July] - Wireless Networks and Multimedia (WNM-2016) @ Dec 
     2016, Sydney, Australia 
  3. MBC2 - Scientific Program and schedule 
  4. INTRODUCTION  to MATLAB  at Imperial College London 
  5. Job: Statistical Insight Analyst - London 
  6. Job: Senior Analyst - London 
  7. EU-SILC: Syntax to generate ESeC (European Socioeconomic Classificationen) 
     based on ISCO88/ISCO08 or ESeG (European Socioeconomic Groups) based on 
     ISCO08 
 
You may leave the list at any time by sending the command 
 
SIGNOFF allstat 
 
to [log in to unmask], leaving the subject line blank. 
 
---------------------------------------------------------------------- 
 
Date:    Mon, 18 Jul 2016 08:02:49 +0000 
From:    Claire Spencer <[log in to unmask]> 
Subject: Anonymisation Decision-making Framework published today (open access) 
 
All, 
 
The Anonymisation Decision Making Framework is published today and is available as an open access book from: 
 
http://ukanon.net/ukan-resources/ukan-decision-making-framework/ ‎ 
 
This is the first serious attempt to unify technical and legal aspects of anonymisation and provides a comprehensive guide to doing anonymisation in practice which has been recognised by the UK Information Commissioner. 
 
The book was also produced through an innovative community engagement approach with inputs from across sectors and disciplines and has been through a review process with a level of rigour far in excess of the average pay-to-own book. 
 
Here is what some people said about the book: 
 
“It is my belief that this book will come to be seen as gold-standards in the field: it is fundamentally rational, scientifically and technically rigorous, easily understandable and framed in a way that makes them useable. I intend for it to become mandatory reading across my research group.” 
Paul Burton - Professor of Infrastructural Epidemiology at the University of Bristol 
 
“This authoritative and accessible decision-making framework will help the information professional to anonymise personal data effectively. The framework forms an excellent companion piece to the ICO’s code of practice.” 
Elizabeth Denham – UK Information Commissioner 
 
“The Anonymisation Decision Making Framework provides a practical and useful structure to assist data custodians in the process of anonymising a dataset before release or sharing. The lack of a practical guide providing a broadly applicable “how to” manual has been a noticeable gap until the appearance of this book. In addition, the book integrates (UK‐specific) legal and technical perspectives to provide a comprehensive and readable treatment covering both the data and the data environment or context.” 
Christine O’Keefe – Senior Principal Research Scientist, Data61, CSIRO, and Adjunct Professor, School of Mathematical Sciences, University of Adelaide. 
 
"Extremely useful to data controllers who need to safely release/share sensitive personal data" 
Josep Domingo-Ferrer - Professor of Computer Science at Universitat Rovira I Virgili and UNESCO chair of Data Privacy 
 
I want to congratulate the authors for this interesting, relevant, and very helpful report which fills an important gap in the literature. Most books and articles currently available on this topic are written only for experts in the field. Furthermore, they mostly focus on the statistical aspects of data confidentiality and only approach the problem by looking at the data. The holistic approach proposed in this book is intuitive and sensible. I fully agree with the authors that looking at the anonymisation problem only from the data perspective falls short of important aspects of the problem. The authors illustrate clearly that considering the environment is at least as important as the data themselves. 
Jörg Dreschler - Distinguished Researcher, IAB, Germany. 
 
Regards 
Mark Elliot 
Professor of Data Science 
School of Social Sciences 
University of Manchester 
M13 9PL 
T:+44-161-275-4257 
PA: Claire Spencer [log in to unmask]<mailto:[log in to unmask]>  +44-161-275-1980 
 
 
 
You may leave the list at any time by sending the command 
 
SIGNOFF allstat 
 
to [log in to unmask], leaving the subject line 
 
------------------------------ 
 
Date:    Mon, 18 Jul 2016 16:18:30 +0800 
From:    "[log in to unmask]" <[log in to unmask]> 
Subject: [Due Date: 20 July] - Wireless Networks and Multimedia (WNM-2016) @ Dec 2016, Sydney, Australia 
 
(Apologies if you receive multiple copies of this message) 
 
===============================Call For Paper================================ 
The 7th International Workshop on Wireless Networks and Multimedia (WNM-2016) 
 
http://empslocal.ex.ac.uk/people/staff/yw433/wnm2016/ 
 
To be held in conjunction with The 18th IEEE International Conference on High Performance Computing and Communications (HPCC-2016) 
12-14 December 2016, Sydney, Australia 
 
Submission deadline: 20 July 2016 
 
Introduction 
============ 
The wireless communication technologies have evolved quickly over the past years. As the explosive growth in broadband wireless networks, multimedia applications will dominate the future wireless communication society, resulting in non-trivial problems in terms of available capacity, reliability, quality-of-service, delay, and throughput. 
 
To successfully support wireless multimedia applications, it is necessary to improve the state-of-the-art techniques (such as radio resource management, mobility, handoff, and location management, etc) in the multimedia transmission over wireless networks in order to provide quality-of-service guarantees between the end-users and achieve a high quality-of-experience for end-users. 
 
This workshop will address the important problems and challenges caused by the transmission of multimedia applications over wireless networks. The workshop aims to bring together computer scientists and engineers in different disciplines to share and exchange their experience and ideas and discuss state-of-the-art and in-progress research on all aspects of wireless networks and multimedia applications. 
 
WNM-2016 is the next event, in a series of successful International Workshops on Wireless Networks and Multimedia (WNM), previous held as WNM-2015 (Liverpool, UK, October 2015), WNM-2014 (Dalian, China, August 2014), WNM-2013 (Melbourne, Australia, July 2013), WNM-2012 (Liverpool, UK, June 2012), WNM-2011 (Changsha, China, November 2011), and HMWN-2010 (Bradford, UK, June 2010). 
 
Topics of particular interests include the following tracks, but are not limited to: 
 
- 5G 
- SDN/NFV-based Flexible Architecture for Wireless Networks and Multimedia 
- Caching for Wireless Networks and Multimedia 
- Ultra-Wideband Networks 
- Wireless Ad Hoc and Mesh Networks 
- Wireless Personal Area Networks 
- Wireless Local Area Networks 
- Wireless Sensor Networks 
- Wireless Metropolitan Area Networks 
- Cellular Networks 
- WiMAX 
- Optical Wireless Access Networks 
- Mobile Computing and Wireless Communications 
- Future Wireless Networks and Protocols 
- Multimedia Communications and Services 
- Congestion and Admission Control 
- Wireless MAC Protocols: Design and Analysis 
- Quality of Service Provisioning 
- Wireless Network Trust, Privacy and Security 
- Software Defined Radio & Software Defined Networking 
- Cross-Layer Design and Adaptation 
- Radio Resource Management 
- Mobility, Handoff and Location Management 
- Performance Modeling and Evaluation 
- Wireless and Mobile Network Architecture 
 
 
Important Dates 
=============== 
Submission Deadline: 20 July 2016 
Authors Notification: 25 September 2016 
Final Manuscript Due: 15 October 2016 
Registration Due: 15 October 2016 
 
 
Paper Submission Guideline 
========================== 
Prospective authors are invited to submit manuscripts reporting original unpublished research and recent developments in the topics related to the workshop. The length of the papers should not exceed 8 pages + 2 pages for overlength charges (IEEE Computer Society Proceedings Manuscripts style: two columns, single-spaced, 10-point font), including figures and references. 
 
The template files for LATEX or WORD can be downloaded here (http://www.ieee.org/conferences_events/conferences/publishing/templates.html). 
 
Papers should be submitted through the EasyChair paper submission system (https://easychair.org/conferences/?conf=wnm2016). 
 
All papers will be peer reviewed and the comments will be provided to the authors. Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). 
 
Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. 
 
 
Workshop Chairs 
=============== 
Yulei Wu, University of Exeter, UK (yulei.frank.wu AT gmail.com) Geyong Min, University of Exeter, UK Ahmed Al-Dubai, Edinburgh Napier University, UK 
 
You may leave the list at any time by sending the command 
 
SIGNOFF allstat 
 
to [log in to unmask], leav 
 
------------------------------ 
 
Date:    Mon, 18 Jul 2016 11:35:43 +0200 
From:    Salvatore Ingrassia <[log in to unmask]> 
Subject: MBC2 - Scientific Program and schedule 
 
Dear Colleagues, 
 
I inform you that the final scientific program and the schedule of the workshop 
MBC2  –  Model-Based Clustering and Classification are now available at  http://mbc2.unict.it/program3.shtml 
 
Online registration is open until August 10, 2016 at http://mbc2.unict.it/registration.shtml. 
 
Best regards, 
 
Salvatore Ingrassia 
 
**************************************************** 
Salvatore Ingrassia, Ph.D. 
Professor of Statistics 
Department of Economics and Business 
University of Catania (Italy) 
 
Corso Italia, 55 - 95129 Catania, Italy Tel. +39 095 7537732 Fax +39 095 7537610 
e-mail: [log in to unmask] 
web: www.dei.unict.it/ingrassia<http://www.dei.unict.it/ingrassia> 
**************************************************** 
 
You may leave the list at any time by sending the command 
 
SIGNOFF allstat 
 
to [log in to unmask], leaving the subject line blank. 
 
------------------------------ 
 
Date:    Mon, 18 Jul 2016 10:30:29 +0000 
From:    Mark Elliot <[log in to unmask]> 
Subject: Anonymisation Decision-making Framework published today (open access) 
 
All, 
 
The Anonymisation Decision Making Framework is published today and is available as an open access book from: 
 
http://ukanon.net/ukan-resources/ukan-decision-making-framework/ ‎ 
 
This is the first serious attempt to unify technical and legal aspects of anonymisation and provides a comprehensive guide to doing anonymisation in practice which has been recognised by the UK Information Commissioner. 
 
The book was also produced through an innovative community engagement approach with inputs from across sectors and disciplines and has been through a review process with a level of rigour far in excess of the average pay-to-own book. 
 
Here is what some people said about the book: 
 
“It is my belief that this book will come to be seen as gold-standards in the field: it is fundamentally rational, scientifically and technically rigorous, easily understandable and framed in a way that makes them useable. I intend for it to become mandatory reading across my research group.” 
Paul Burton - Professor of Infrastructural Epidemiology at the University of Bristol 
 
“This authoritative and accessible decision-making framework will help the information professional to anonymise personal data effectively. The framework forms an excellent companion piece to the ICO’s code of practice.” 
Elizabeth Denham – UK Information Commissioner 
 
“The Anonymisation Decision Making Framework provides a practical and useful structure to assist data custodians in the process of anonymising a dataset before release or sharing. The lack of a practical guide providing a broadly applicable “how to” manual has been a noticeable gap until the appearance of this book. In addition, the book integrates (UK‐specific) legal and technical perspectives to provide a comprehensive and readable treatment covering both the data and the data environment or context.” 
Christine O’Keefe – Senior Principal Research Scientist, Data61, CSIRO, and Adjunct Professor, School of Mathematical Sciences, University of Adelaide. 
 
"Extremely useful to data controllers who need to safely release/share sensitive personal data" 
Josep Domingo-Ferrer - Professor of Computer Science at Universitat Rovira I Virgili and UNESCO chair of Data Privacy 
 
I want to congratulate the authors for this interesting, relevant, and very helpful report which fills an important gap in the literature. Most books and articles currently available on this topic are written only for experts in the field. Furthermore, they mostly focus on the statistical aspects of data confidentiality and only approach the problem by looking at the data. The holistic approach proposed in this book is intuitive and sensible. I fully agree with the authors that looking at the anonymisation problem only from the data perspective falls short of important aspects of the problem. The authors illustrate clearly that considering the environment is at least as important as the data themselves. 
Jörg Dreschler - Distinguished Researcher, IAB, Germany. 
 
Regards 
Mark Elliot 
Professor of Data Science 
School of Social Sciences 
University of Manchester 
M13 9PL 
T:+44-161-275-4257 
PA: Claire Spencer [log in to unmask]<mailto:[log in to unmask]>  +44-161-275-1980 
 
 
 
You may leave the list at any time by sending the command 
 
SIGNOFF allstat 
 
to [log in to unmask], leaving the subject line 
 
------------------------------ 
 
Date:    Mon, 18 Jul 2016 11:00:13 +0000 
From:    "Gordon, Fabiana" <[log in to unmask]> 
Subject: INTRODUCTION  to MATLAB  at Imperial College London 
 
 
There are places available on the Matlab courses below. 
_________________________________________ 
Introduction to Matlab 
 
*         Wed 3rd  August 2016 (10.00-17.00) 
Web-link: www.imperial.ac.uk/stathelp/courses/matlabcourses/introtomatlab<http://www.imperial.ac.uk/stathelp/courses/matlabcourses/introtomatlab<http://www.imperial.ac.uk/stathelp/courses/matlabcourses/introtomatlab<http://www.imperial.ac.uk/stathelp/courses/matlabcourses/introtomatlab>> 
 
We currently provide courses in SPSS, Stata, Matlab, Clinical Trials & R. Please contact +44 (0)207 594 1754 or [log in to unmask]<mailto:[log in to unmask]> for further information. 
 
We also provide statistical advice via one-to-one consultations. For further information, please visit www.imperial.ac.uk/stathelp/priortoconsultation<http://www.imperial.ac.uk/stathelp/priortoconsultation<http://www.imperial.ac.uk/stathelp/priortoconsultation<http://www.imperial.ac.uk/stathelp/priortoconsultation>>. 
 
 
 
You may leave the list at any time by sending the command 
 
SIGNOFF allstat 
 
to [log in to unmask], leaving the subject line blank. 
 
------------------------------ 
 
Date:    Mon, 18 Jul 2016 13:44:29 +0100 
From:    Roisin McCarthy <[log in to unmask]> 
Subject: Job: Statistical Insight Analyst - London 
 
Insight Analyst – Negotiable Salary – Plus Benefits – London 
 
This entrepreneurial international business is growing quickly and hiring to facilitate their success.  If you are a self-starter with a great personality, love working in London this could be your new post.  We are seeking highly skilled statistician, ideally with commercial work experience. 
 
Role and Responsibilities 
 
•       Develop insights and meaningful views on data 
•       Deal with different data sources 
•       Build an understanding of the organisations data infrastructure and capability 
•       Deliver insights to conversion optimisation for multi-channel 
•       Undertake predictive statistical modelling. 
 
 
Qualifications, Experience & Skills Required 
•       Educated to Degree level in Statistics, Mathematics, Operations Research or Computer Sciences 
•       Demonstrable experience in an Insight and Analytics environment 
•       Experience in working closely with other departments concerning analysis 
•       Highly Proficient in the use of business intelligence and analysis tools 
•       Proficient in writing effective, optimised and efficient SQL together with advanced Excel 
•       Proven experience of working within a highly focussed insight and analytics team 
•       Proven ability of responding to business urgencies and prioritising work accordingly. 
•       Experience in training other analysts essential 
               Highly proficient communication skills 
•       Confidently speaking to others about insights in business meetings 
 
This is an outstanding opportunity to work with a highly skills statistical team, who are at the cutting edge of all things data. 
You are a self starter who is seeking a challenge where you have the opportunity to learn from industry experts and grow your commercial acumen. 
 
If you fit the above job description apply to Roisin McCarthy on [log in to unmask] Please be advised that we can only accept candidates who have the right to work in the UK. 
 
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes!  If you have a friend or colleague who would be interested in this role, please refer them to us.  For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. 
 
You may leave the list at any time by sending the command 
 
SIGNOFF allstat 
 
to [log in to unmask], leaving the subject line blank. 
 
------------------------------ 
 
Date:    Mon, 18 Jul 2016 13:48:14 +0100 
From:    Roisin McCarthy <[log in to unmask]> 
Subject: Job: Senior Analyst - London 
 
Senior Analyst - Salary to £43K – Plus Benefits – London – J9084 
 
Come and join this advanced analytics team dedicated to R&D for an internationally renowned marketing giant… Data science and analytics are core to this business where you can influence and achieve goals receive training and development along your career path 
 
Role and Responsibilities 
•             Proactively look to improve analytics delivery 
•             Work with the very latest technologies to join one of the richest data sets 
•             You’ll work nimbly in an agile and fast-paced team 
•             A strong interest in data and analytics 
•             You will enjoy keeping up to date with the latest methods and technologies 
 
Qualifications, Experience & Skills Required 
•             A university degree (2:1 or higher) in a numerate discipline – maths, stats or operational research 
•             A post graduate degree or research experience would be advantageous 
•             Previous exposure to statistical modelling tools (e.g. R,Python or SAS) 
•             Experience in Machine Learning advantageous 
 
If you fit the above job description please contact Rachel Keane on 01256 314 660 or email her on [log in to unmask] Please be advised that we can only accept candidates who have the right to work in the UK. 
 
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes!  If you have a friend or colleague who would be interested in this role, please refer them to us.  For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. 
 
You may leave the list at any time by sending the command 
 
SIGNOFF allstat 
 
to [log in to unmask], leaving the subject line blank. 
 
------------------------------ 
 
Date:    Mon, 18 Jul 2016 13:25:05 +0000 
From:    "Wirth, Heike" <[log in to unmask]> 
Subject: EU-SILC: Syntax to generate ESeC (European Socioeconomic Classificationen) based on ISCO88/ISCO08 or ESeG (European Socioeconomic Groups) based on ISCO08 
 
Dear colleagues, 
 
in case you work with EU-SILC DATA  you might be interested in our 
 
new syntax to generate ESeC and ESeG using EU-SILC-SPSS or Stata Systemfiles You will find the syntax here: http://www.gesis.org/unser-angebot/daten-analysieren/amtliche-mikrodaten/european-microdata/eu-silc/ 
 
click on: EU-SILC: Tools 
 
 
For details on ESeC please visit the homepage of Eric Harrison<http://ekharrison.weebly.com/european-socio-economic-classification-esec.html> 
For details on ESeG please see Meron, Monique et al (2014)<https://ec.europa.eu/eurostat/cros/content/eseg-report-technicaldocuments_en> 
 
 
 
kind regards 
 
Heike Wirth 
 
 
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 
Dr. Heike Wirth 
GESIS - Leibniz-Institut für Sozialwissenschaften German Microdata Lab Postfach 12 21 55 
D-68072 Mannheim 
Tel.: +49 621 1246 269 
Fax: +49 621 1246 100 
Email: [log in to unmask]<mailto:[log in to unmask]> 
http://www.gesis.org/ 
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 
 
 
You may leave the list at any time by sending the command 
 
SIGNOFF allstat 
 
to [log in to unmask], leaving the subject line blank. 
 
------------------------------ 
 
End of allstat Digest - 17 Jul 2016 to 18 Jul 2016 (#2016-176) 
************************************************************** 
 
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You may leave the list at any time by sending the command 
 
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****************************************************** 
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message will go only to the sender of this message. 
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to [log in to unmask] 
Disclaimer: The messages sent to this list are the views of the sender and cannot be assumed to be representative of the range of views held by subscribers to the Radical Statistics Group. To find out more about Radical Statistics and its aims and activities and read current and past issues of our newsletter you are invited to visit our web site www.radstats.org.uk<http://www.radstats.org.uk>. 
******************************************************* 
****************************************************** Please note that if you press the 'Reply' button your message will go only to the sender of this message. If you want to reply to the whole list, use your mailer's 'Reply-to-All' button to send your message automatically to [log in to unmask] Disclaimer: The messages sent to this list are the views of the sender and cannot be assumed to be representative of the range of views held by subscribers to the Radical Statistics Group. To find out more about Radical Statistics and its aims and activities and read current and past issues of our newsletter you are invited to visit our web site www.radstats.org.uk. ******************************************************* 
 
****************************************************** 
Please note that if you press the 'Reply' button your 
message will go only to the sender of this message. 
If you want to reply to the whole list, use your mailer's 
'Reply-to-All' button to send your message automatically 
to [log in to unmask] 
Disclaimer: The messages sent to this list are the views of the sender and cannot be assumed to be representative of the range of views held by subscribers to the Radical Statistics Group. To find out more about Radical Statistics and its aims and activities and read current and past issues of our newsletter you are invited to visit our web site www.radstats.org.uk. 
******************************************************* 

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