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Statisticians React to the News

The Way of the Statistician and the Way of the Physicist

09 February 2021
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The rules of evidence as presented in statistics textbooks are not the same as the informal criteria that statisticians and practitioners use in deciding what methods to use.  What are the similarities and differences between statistical thinking and the modeling done in the physical sciences?

David Bailey, a physicist at the University of Toronto, writes:

The other reason for this email is that I’d be curious to (eventually) read your comments on this new article by Anne‐Laure Boulesteix, Sabine Hoffmann, Alethea Charlton, and Heidi Seibold in Significance magazine: “A replication crisis in methodological research?”  I [Bailey] have done a bit of research on scientific reproducibility, and I am always curious to understand better how statistical methods are validated in the messy real world.  I often say that physics is much easier to do than medical and social sciences because “electrons are all identical, cheap, and unchanging – people are not.”

I read the linked article by Boulesteix et al., and I agree with their general points, although they perhaps underestimate the difficulty of these evaluations.  Here are three relevant articles from 2012-2014:

  1. In a 2012 article, Eric Loken and I criticize statisticians for not practicing what we preach regarding teaching rather than methodology, but a similar issue.
  2. I ask how we choose our methods; see section 26.2 of this article from 2014.  
  3. Another take on what we consider as convincing evidence is this article from 2014 with Keith O’Rourke, which begins as follows:

    The rules of evidence as presented in statistics textbooks are not the same as the informal criteria that statisticians and practitioners use in deciding what methods to use. According to the official rules, statistical decisions should be based on careful design of data collection, reliable and valid measurement, and something approximating unbiased or calibrated estimation. The first allows both some choice of the assumptions and an opportunity to increase their credibility, the second tries to avoid avoidable noise and error and third tries to restrict to methods that are seemingly fair. This may be fine for evaluating psychological experiments, or medical treatments, or economic policies, but we as statisticians do not generally follow these rules when considering improvements in our teaching  nor when deciding what statistical methods to use.

So, yes, it’s kind of embarrassing that statisticians are always getting on everybody else’s case for not using random sampling, controlled experimentation, and reliable and valid measurements—but then we don’t use these tools in our own decision making.

P.S.  On Bailey’s webpage there’s a link to this page on The Way of the Physicist:

Our students should be able to
– construct mathematical models of physical systems
– solve the models analytically or computationally
– make physical measurements of the systems
– compare the measurements with the expectations
– communicate the results, both verbally and in writing
– improve and iterate
and to apply these skills to both fundamental and applied problems.

I like that!  It’s kind of like The Way of the Statistician.  Bailey also wrote this article about how we learn from anomalies, in a spirit similar to our God is in Every Leaf of Every Tree principle.

P.P.S.  I sent the above comments to Boulesteix et al. (the authors of the above-linked article), who replied:

We agree with your discussion about the shortcomings of the sources of evidence on the effectiveness of statistical methods in Gelman (2013) and Gelman and O’Rourke (2014). Indeed, we generally expect methodological papers to provide evidence on the effectiveness of the proposed methods and this evidence is often given through mathematical theory or computer simulations “which are only as good as their as-sumptions”  (Gelman, 2013). When evidence of improved performance is given in benchmarking studies, the number of benchmark data sets is often very limited and the process used to select datasets is unclear. In this situation, researchers are incentivized to use their researcher degrees of freedom to show their methods from the most appealing angle. We do not suggest any intentional cheating here, but in the fine-tuning of method settings, data sets and pre-processing steps, researchers (ourselves included) are masters of self-deception. If we do not at least encourage authors to minimize cherry-picking when providing this evidence, then it is just silly to ask for evidence.

We also agree with you that the difficulties of becoming more evidence-based should not be underestimated. At the same time, we are not arguing that it is an easy task, we say that it is a necessary one. As you say in Gelman and O’Rourke (2014), statistics is a young discipline and, in the current statistical crisis in science, we feel that we can learn from the progress that is being made in other disciplines (while keeping in mind the differences between statistics and other fields). Currently, “statisticians and statistical practitioners seem to rely on a sense of anecdotal evidence based on personal experience and on the attitudes of trusted colleagues” (Gelman, 2013). For much of its history, medicine was more of an art than a science and relied on this type of anecdotal evidence, which has only come to be considered insufficient in the last century. We might be able to learn important lessons from experiences in this field when it comes to evidence-based methodological research.

Starting from the list of evidence that you present in Gelman (2013) and Gelman and O’Rourke (2014), we might for instance establish a pyramid of evidence. The highest level of evidence in this pyramid could be systematic methodological reviews and pre-registered neutral  comparison  studies on a number of benchmark data sets determined through careful sample size calculation or based on neutral and carefully designed simulation studies. We have to admit that evidence on real data sets is easier to establish for methods where the principal aim is prediction rather than parameter estimation and we do not pretend to have the answer to all open questions. At the same time, it is encouraging to see that progress is being made on many fronts, ranging from the pre-registration of machine learning research (e.g.  NeurIPS2020 pre-registration experiment), to the replication of methodological studies, and to the elaboration of standardized reporting guidelines for simulation studies (see, e.g., De Bin et al., Briefings in Bioinformatics 2020 for first thoughts on this issue).

We appreciate your argument in Gelman and Loken (2012) that we should be more research based in our teaching practice. Exactly as applied statisticians should, in an ideal world, select statistical methods based on evidence generated by methodological statisticians, teaching statisticians should, in an ideal world, select teaching methods based on evidence generated by statisticians committed to didactics research. In both fields – teaching and research, it seems deplorable that we do not practice what we preach for other disciplines. In the long run, we also hope that our teaching will benefit from more evidence-based methodological research. Our students are often curious to know which method they should apply on their own data and, in the absence of neutral, high-quality studies on the comparative effectiveness of statistical methods, it is difficult to give a satisfactory answer to this question. All in all, we hope that we can stop being “cheeseburger-snarfing diet gurus who are unethical in charging for advice we wouldn’t ourselves follow” (Gelman and Loken (2012)) regarding both teaching and research.

I responded that I think they are more optimistic than I am about evidence-based medicine and evidence-based education research. It’s not so easy to select teaching methods based on evidence-based research. And for some concerns about evidence based medicine, see here.

 

Andrew Gelman
USA

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Church Street, P.O. Box 186, Basseterre, St. Kitts
Contact: Ms. Beverly Harris, Director of Statistics
Tel. +1-869-465-2521 Ext. 1063
VISIT WEBSITE
Saint Kitts and Nevis
Association Senegalaise pour la Statistique (ASTAT)
Contact: Amadou Talla Gueye, President
VISIT WEBSITE
Senegal
Statistical Society of Serbia
c/o University of Belgrade Faculty for Traffic and Transport Engineering Vojvode Stepe 305 10000 Belgrade
Contact: Dr. Ranko Nedeljkovic, President
Tel. +381 63 439593
VISIT WEBSITE
Serbia
Directorate of Statistics
Ministry of National Planning P.O. Box 1742, MOGADISHU
Contact: Mr. Mohamed Ali, Director General
Tel. +252-1-80 384/87
VISIT WEBSITE
Somalia
Department of Statistics
Ministry of Planning, P.O. Box 700, KHARTOUM
Contact: Mr. Omer Ahmed El Tay, Director-General
VISIT WEBSITE
Sudan
Central Statistical Office
P.O. Box 456, MBABANE
Contact: Ms. Isabella Hlophe, Director of Statistics
Tel. +268-42 151/4
VISIT WEBSITE
Swaziland
Conference of Regional Statistical Offices
c/o Statistisches Amt des Kantons Luzern Burgerstr. 22 CH-6002 Luzern
Contact: Gian Antonio Paravicini, President
Tel. +41 41 228 56 36
VISIT WEBSITE
Switzerland
Schweizerische Gesellschaft für Statistik und Volkswirtschaft
c/o Volkswirtschaftliches Institut Universität Bern Vereinsweg 23 CH-3017 Bern
Contact: Prof. Ernst Baltensperger, President
Tel. +4131 6318081
VISIT WEBSITE
Switzerland
Swiss Statistical Society (SSS)
c/o Statistische Beratung und Universitäre Forschung Pädagogische Hochschule Luzern Universität Luzern Brauerstrasse 108 8004 Zurich
Contact: Dr. Rodolphe Dewarrat, Contact person (facility in Bern)
Tel. +41 44 350 03 41 (Dr. Rodolphe Dewarrat, in Bern)
VISIT WEBSITE
Switzerland
Thai Statistical Association
Contact: Prof. Adisak Pongpullponsak, President
VISIT WEBSITE
Thailand
Association des Statisticiens et Démographes
Contact: Mr. Kponton Anani Théodore, President
VISIT WEBSITE
Togo
Tunisian Association of Statistical Engineers (TASE)
6, Rue des Métiers Charguia II-2035, Tunis
Contact: Mr. Wajdi Sfaihi, President
VISIT WEBSITE
Tunisia
Service de la Statistique
Mata Utu, Immeuble Pukavila, RT1 - Falaleu, 98600 - Wallis
Contact: Mr. Jean Paul Goepfert, Chief of Service
Tel. +681 72.24.03
VISIT WEBSITE
Wallis and Futuna
Central Statistical Organization (CSO)
P.O. Box 13434, SANA’A
Contact: Mr. Ahmed Mohammed Eshaq, Chairperson
Tel. +967-1-25 01 08
VISIT WEBSITE
Yemen
Central Statistical Office
P.O. Box CY 342, Causeway, HARARE
Contact: Mr. Moffat Nyoni, Director of Census and Statistics
Tel. +263-4-70 66 81/8
VISIT WEBSITE
Zimbabwe
Zimbabwe Statistical Association
Contact: Dr. Gibson Mandishona, President
VISIT WEBSITE
Zimbabwe

Background Documentation and Bibliography: ISI Declaration on Professional Ethics

In this document: 

  1. Historical Commentary 
  2. Codes of Ethics: Selected Statistical Associations 
  3. Codes of Ethics: Selected Non-statistical Associations 
  4. Bibliography

HISTORICAL COMMENTARY 

The following discussion reflects an extensive dialog among the architects of the initial Declaration on Professional Ethics from 1985. It is archived here for reference as much of its value remains relevant. 

ISI Online Courses — Core Information Regarding ISI Policy

The course teaching activity should be seen as a service to the international statistical community and a contribution to professional development and statistical capacity building for ISI members and the larger community.

The course teaching activity should be seen as a service to the international statistical community and a contribution to professional development and statistical capacity building for ISI members and the larger community.

Marcel De Toledo Vieira

Ingediend door ShelleyN op do, 03/02/2023 - 13:48

Marcel de Toledo Vieira, born in 1976 and winner of the 2007 Cochran-Hansen Prize of the International Association of Survey Statisticians (IASS), is currently Associate Professor of Statistics, at the Department of Statistics of the Federal University of Juiz de Fora, in Brazil.

He has been a member of the IASS since 2007 (Council Member between 2011 and 2015) and was elected Member of the International Statistical Institute in 2013.

Dr. Ann Maharaj

Ingediend door ShelleyN op do, 03/02/2023 - 14:06

Ann is an Adjunct Associate Professor in the Department of Econometrics and Business Statistics at Monash University in Melbourne, Australia where she lectured for 30 years from February 1990 until her retirement in July 2020. 

Prior to that she lectured for 11 years, first in the Department of Mathematics and then in the Department of Statistics at the University of Durban-Westville in South Africa (now part of the University of KwaZulu-Natal). 

Prof. Delia North

Ingediend door ShelleyN op do, 03/02/2023 - 14:11

Delia is Professor in Statistics at, and Dean and Head of, the School of Mathematics, Statistics and Computer Science at the University of KwaZulu-Natal in South Africa. 

She has over 30 years of experience in teaching Statistics, and has become a leading figure in Statistics Education circles, nationally and internationally (Chair: South African Statistical Association Education Committee for 17 years; Vice President: International Association of Statistics Education; Master Trainer: Maths4stats for schools). 

Prof. Edward L. Boone

Ingediend door ShelleyN op do, 03/02/2023 - 14:14

Edward is Professor of Statistics at Virginia Commonwealth University in Richmond Virginia USA, and has been teaching Statistics for 17 years. 

He has been very active in researchin Statistics as has a passion for teaching. Learning should be fun and complex ideas should be presented first from an intuitive approach. 

He is currently the Publications Officer for the Section onStatistical Consulting of the American Statistical Association and the President Elect for the Southern Regional Council on Statistics.

Ashley Steel

Ingediend door ShelleyN op do, 03/02/2023 - 15:00

Ashley Steel worked as a statistician and an ecologist for the US Government from 1999 – 2018. 

She served as Team Lead for Landscape Ecology and Recovery Science (National Oceanographic and Atmospheric Administration, NOAA) and Lead Statistician for the PNW Research Station (US Forest Service). 

She recently entered the world of official statistics at the Food and Agriculture Organization of the United Nations (FAO) where she works in forest product statistics. 

Martin Liermann

Ingediend door ShelleyN op do, 03/02/2023 - 15:17

Martin Liermann has worked at the National Marine Fisheries in Seattle as a quantitative ecologist since 1997 and is affiliate faculty in the University of Washington’s Statistics department. He received a BA in mathematics, and an MS in mathematics and environmental sciences at Humboldt State University (Arcata California) in 1989 and 1991. He completed his Ph.D. in quantitative ecology and resource management at the University of Washington (Seattle Washington) in 1999.

IASC-LARS Webinar Courses on Computational Statistics and Data Science

The webinar course was supported by the Latin American Regional Section of the International Association for Statistical Computing (IASC-LARS), the International Association for Statistical Computing (IASC), the International Statistical Institute (ISI), the World Bank, and the Statistical Capacity Building Program.

Geostatistical Functional Data Analysis

23–25 February 2021

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ISI General Donations Fund

The ISI General Donation Fund is used for the promotion of the statistical profession. Examples are promotional videos and materials.

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DG Kendall Award

This Prize for excellent young researchers, who are members of either the Royal Statistical Society (RSS) or the Bernoulli Society (BS), is awarded every 2 years, alternating between probability and mathematical statistics. Its name honours David G. Kendall, who was the first BS president and was awarded the Guy Medal in Silver (1955) and in Gold (1981) of the RSS.

The prize will be presented at a major BS conference (typically the Bernoulli-IMS World Congress or the ISI WSC) or an RSS conference (as specified by the applicant).

The Award is based on donations through this ISI donations page, the ISI Webshop, and through the Royal Statistical Society (RSS; a UK registered charity).

Bernoulli Logo
BS General Fund

Donations to this Fund go to support the organization as a whole and not into a specific fund. Examples include travel costs for named speakers at World Conference, and BS Open Access Journal contributions.

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IASC Development Fund

The IASC Development Fund supports young researchers, graduate students, and undergraduate students who are IASC members as deemed appropriate by the IASC Executive Committee.

ties-logo
TIES Abdel El-Shaarawi Early Investigator’s Award (AEEI)

The award was established through a motion of the Board of Directors in 2001, and the subsequent definition of the nature of the award:

I move that as a fitting recognition of, and show of appreciation for, Abdel’s outstanding contribution and dedication to TIES, he be honored by our establishment of an annual award or lectureship in his name.

— Francis Philbert

The prestigious AEEI award 2019 is granted to an early investigator, who is a TIES member for the previous and actual year of the award conferment, and has received their PhD within 12 years of the submission deadline for nominations. The award includes:

  1. Certificate,
  2. TIES/WSC conference registration (it depends on which conference takes place on that particular year),
  3. Cash award (€1000).

The award recipient is invited to make a presentation at the regional TIES or WSC conference.

Bank Transfer

Please be sure to inform your bank that all transaction costs are at your own expense.

The Netherlands

Two options:

ING

Postbus 94780
1090 GT Amsterdam
Account number: 239932
BIC: INGBNL2A
IBAN: NL36INGB0000239932

Or:

ABN AMRO Bank N.V.

Postbus 19510
2500 CM The Hague
Account: 51.15.39.258
BIC: ABNANL2A
IBAN: NL71 ABNA 0511 5392 58

Saw, Prof. Swee Hock 1931 1974 2021-02-16
Ntozi, Dr. James P.M. 1945 1992 2021-05-18
Folks, Dr. J. Leroy 1929 1982 2021-06-05
Nyoni, Moffat 1949 2011 2021-10-28
Bond, Prof. Derek 1951 2000 2021-11-26
Dagnelie, Prof. Pierre 1933 1967 2022-03-12
Winkler, Em. Othmar W. 1923 1991 2022-08-14
Franz, Prof. Dr. Alfred W. 1939 1987 2021-01-14
Boeri de Cervetto, Mrs. Lelia I. 1932 1984 2021-01-03
Regier, Dr. Mary H. 1926 1973 2020-12-28
Fraser, Dr. Donald A.S. 1925 1962 2020-12-21
Iosifescu, Professor Dr. Marius 1936 1970 2020-12-09
Van Sinderen, Prof. Dr. Jarig 1953 2005 2020-09-22
Jolliffe, Mrs. Flavia R. 1942 2002 2020-08-07
Simchera, Prof. Vassily 1940 2001 2020-06-15
Spiegelman, Prof. Clifford H. 1948 1993 2020-05-13
Whitfield Cobb, Prof. George 1947 2018 2020-05-06
Goldstein, Prof. Harvey 1939 1986 2020-04-08
Lesourne, Jacques F. 1928 1974 2020-03-01
UN Economic Commission for Africa (UNECA)
Ethiopia
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Danish Society for Theoretical Statistics
Denmark
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Statistical Service of the Republic of Cyprus
Cyprus
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Sociedad Colombiana de Estadística (SCE)
Colombia
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UN Economic Commission for Latin America and the Caribbean (ECLAC)
Chile
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National Statistical Institute of Bulgaria (NSI)
Bulgaria
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United Nations Industrial Development Organization (UNIDO)
Austria
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Ministry of Statistics & Programme Implementation
India
Visit Website

General Principles for an ISI RSC

ISI Regional Statistical Conferences aim to bring statistical value to a region by: 

  • Increasing awareness of ISI in the region, and promoting regional and individual participation in ISI. 
  • Promoting and advancing regional cooperation and development in statistics. 
  • Encouraging the participation of early career statisticians and data scientists in the region.

In order to achieve this: 

Ministry of Internal Affairs and Communications
Japan
Visit Website
Statistical Research and Training Institute (SRTI)
Japan
Visit Website
UN Statistical Institute for Asia and Pacific (SIAP)
Japan
Visit Website
Arab Institute for Training and Research in Statistics (AITRS)
Jordan
Visit Website
Bank of Korea
Korea, Democratic People-s Republic of
Visit Website
Statistics Korea
Korea, Democratic People-s Republic of
Visit Website
UN Economic and Social Commission for Western Asia (ESCWA)
Lebanon
Visit Website
European Free Trade Association, Statistical Office (EFTA)
Luxembourg
Visit Website
Service Central de la Statistique & Etudes de la statistique et des études économiques (STATEC)
Luxembourg
Visit Website
Direçcão dos Serviços de Estatística e Censos
Macao
Visit Website
Instituto Nacional de Estadística y Geografía (INEGI)
Mexico
Visit Website
National Bank of the Republic of North Macedonia
North Macedonia
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Palestinian Central Bureau of Statistics (PCBS)
Palestine, State of
Visit Website
Inter-American Statistical Institute (IASI)
Panama, Republic of
Visit Website
Philippines Statistics Authority (PSA)
Philippines
Visit Website
Instituto Nacional de Estatística (INE)
Portugal
Visit Website
Sociedade Portuguesa de Estatística (SPE)
Portugal
Visit Website
Ministry of Development Planning & Statistics
Qatar
Visit Website
Central Bank of the Russian Federation
Russian Federation
Visit Website
Federal State Service Statistics (Rosstat)
Russian Federation
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General Authority of Statistics (GAStat)
Saudi Arabia
Visit Website
Statistical Office of the Republic of Serbia
Serbia
Visit Website
Statistical Office of the Slovak Republic
Slovakia
Visit Website

Some Historical Statistical Scientists Outside of Europe and North America

Some historical statistical scientists outside of Europe and North America
 

Selection criteria:

• Not living.
• Spent most of their career outside of Europe, USA or Canada.
• Of historical importance.
• Nationalities are by the current English language name of the country of origin.
 

Africa

South Africa

Danie Krige (1919-2013)

Invented the spatial estimation method called kriging.

https://www.nap.edu/read/21785/chapter/35

Institut d'Estadistica de Catalunya (IDESCAT)
Spain
Visit Website
Spanish Statistics and Operations Research Society (SEIO)
Spain
Visit Website
Bank for International Settlements, Monetary and Economic Department (BIS)
Switzerland
Visit Website
International Labour Organization (ILO)
Switzerland
Visit Website
UN Economic Commission for Europe (UNECE)
Switzerland
Visit Website
UN Economic and Social Commission for Asia and the Pacific, Statistics Division (ESCAP)
Thailand
Visit Website
Federal Competitiveness & Statistics Authority
United Arab Emirates
Visit Website
Statistics Centre Abu Shabi (SCAD)
United Arab Emirates
Visit Website
Environmental Systems Research Institute (Esri)
USA
Visit Website
Iowa State University, Department of Statistics
USA
Visit Website
National Agriculture Statistics Service (NASS)
USA
Visit Website
University of Washington, Department of Statistics
USA
Visit Website

Bella Struminskaya

Ingediend door isiwebmaster op ma, 03/13/2023 - 14:54

Bella Struminskaya is Assistant Professor at the Department of Methodology & Statistics. Prior to joining Utrecht University, she was a senior researcher at GESIS - Leibniz Institute for the Social Sciences at the Department Survey Design and Methodology. She holds a PhD in Survey Methodology from Utrecht University (2014) and MA in Sociology from the University of Mannheim (2010).

Paula Moraga

Ingediend door isiwebmaster op ma, 03/13/2023 - 16:11

Paula is an Assistant Professor of Statistics at King Abdullah University of Science and Technology (KAUST), and the Principal Investigator of the Geospatial Statistics and Health Surveillance (GeoHealth) research group. Her research focuses on the development of innovative statistical methods and computational tools for geospatial data analysis and health surveillance.

Prigly, Mr. Béla 1928 1994 2019-03-31
Grohmann, Prof. Dr. Heinz 1921 1976 2018-12-06
Finney, Prof. David John 1917 1951 2018-11-12
Mentz, Prof. Raul Pedro 1932 1973 2018-07-17
Hadzivukovic, Prof. Dr. Stevan 1926 1974 2018-05-09
Heyer, Dr. Herbert K. 1936 1981 2018-02-08
Steutel, Prof. Fred W. 1931 1977 2017-05-31
Wago, Prof. Dr. Hajime 1943 1998 2016-12-04
Piesch, Prof. Dr. Walter 1931 1979 2016-10-12
Bailar, Prof. Em. John Christian 1932 1982 2016-09-05

Jean Opsomer

Ingediend door isiwebmaster op di, 03/14/2023 - 12:34

Jean Opsomer, PhD, is a senior statistician with 25+ years of experience applying statistical methods to answer research questions. He is currently responsible for the statistical methodology of several large-scale Westat survey projects. He has served on 6 panels of the National Academies of Sciences, Engineering, and Medicine and is a current member of the Statistics Canada Advisory Committee on Statistical Methods. He is the Chair of the Survey Research Methods Section of the American Statistical Association and Associate Editor for Survey Methodology.

Lippe, Prof. Dr. Peter von der 1942 2005 2016-07-21
Heathcote, Prof. Christopher Robin 1931 1972 2016-07-17
Sicron, Prof. Moshe 1928 1982 2016-04-17
Dunne, Prof. Timothy Terence 1948 2003 2016-04-16
Suzuki, Prof. Dr. Yukio 1929 1976 2016-02-20
Weichselberger, Prof. Kurt 1929 1968 2016-02-07
Zanella, Prof. Angelo 1932 1977 2015-12-03
Wolters, Prof. Dr. Jürgen 1940 1992 2015-11-21
Basu, Prof. Em. Asit P. 1937 1984 2015-10-18
Iglewicz, Prof. Boris 1939 1984 2015-08-24
Wicklin, Mr. Brian R. 1939 1995 2015-07-16
Méraud, Prof. Jacques 1926 1972 2015-07-08
Gänssler, Prof. Em. Peter 1937 1976 2015-06-16
Oosterhoff, Prof. Jacobus 1933 1975 2015-05-26
Walczak, Prof. Dr. Tadeusz 1929 1987 2014-12-23
Rustagi, Prof. Jagdish S. 1923 1972 2014-09-20
Sosic, Prof. Ivan 1939 1986 2014-08-30
Damiani, Mr. Paul E. 1926 1978 2014-08-25
Royer, Prof. Jacques 1922 1971 2014-08-23
Bayarri, Prof. M.J. (Susie) 1956 1997 2014-08-18
Gollnick, Prof. Heinz G.L. 1926 1971 2014-07-18
Seiden, Prof. Esther 1908 1976 2014-06-03
Naeve, Prof. Dr. Peter 1937 1994 2014-05-21
McLenaghan, Mr. John B. 1935 1994 2014-04-14
Barnett, Prof. Vic D. 1938 1973 2014-02-16
Barnett, Prof. Vic D. 1938 1973 2014-02-16
Barnett, Prof. Vic D. 1938 1973 2014-02-16
Wroe, Mr. David 1942 1995 2014-02-02
Preece, Prof. Donald A. 1939 1976 2014-01-06
Strecker, Prof. Dr. Heinrich 1922 1967 2013-10-16
Prokhorov, Prof. Yuri V. 1929 1965 2013-07-15
Bardos, Prof. Mireille 1942 1996 2013-05-31
Tüü, Dr. Stefania 1930 1993 2013-05-20
Douglas, Prof. James B. 1923 1983 2013-02-21
Desrosières, Mr. Alain P.B. 1940 1989 2013-02-15
Raghavarao, Prof. Damaraju 1938 1975 2013-02-06
Lamel, Mr. Joachim 1942 2004 2013-01-30
Antoine, Mr. Jacques 1928 1973 2012-12-25
Yoshizawa, Prof. Em. Tadashi 1939 1985 2012-12-17
Fielding, Prof. Dr. Antony 1944 2004 2012-10-29
Naik, Dr. Dayanand N. 1952 2005 2012-10-25
Nolan, Dr. Frank 1953 1999 2012-10-15
Huang, Prof. Deng-Yuan 1938 1986 2012-08-30
Binder, Dr. David 1949 1984 2012-06-02
Martin, Ms. Margaret E. 1912 1973 2012-05-15
Singh, Prof. Dr. Kesar 1955 2005 2012-05-15
Hruschka, Prof. Dr. Erhard 1931 1989 2012-02-03
Jowell CBE, Prof. Sir Roger 1942 1982 2011-12-25
Engel, Dr. Jan 1952 1982 2011-11-19
Sauvageot, Dr. Claude 1945 1993 2011-10-21
Cal, Dr. Jesús de la 1951 1997 2011-08-24
Huyberechts, Prof. Simone V.J. 1930 1971 2011-08-16
Meier, Prof. Paul 1924 1971 2011-08-06
Skorokhod, Prof. Anatoli V. 1930 1991 2011-01-04
Govindarajulu, Dr. Zakkula 1933 1974 2010-12-05
Witting, Prof. Dr. Hermann 1927 1975 2010-10-04
Zellner, Prof. Arnold 1927 1978 2010-08-10
Rümke, Prof. Christian L. 1922 1976 2010-08-10
Ashworth Nelder, Dr. John 1924 1968 2010-08-06
Besag, Prof. Julian E. 1945 1984 2010-08-05
Blackwell, Prof. David H. 1919 1957 2010-07-07
Kanji, Prof. Dr. Gopal K. 1938 1982 2010-05-27
Sakura, Prof. Itasu 1924 1976 2010-05-02
Ferreri, Prof. Carlo 1931 1978 2010-04-28
Kotz, Prof. Dr. Samuel 1930 1974 2010-03-16
Harter, Dr. Harman Leon 1919 1977 2010-03-03
Griffin, Mr. Tom 1937 1999 2010-01-31
Harewood, Prof. Rupert Jackson (Jack) 1921 1966 2010-01-27
Arcones, Dr. Miguel 1963 2005 2009-12-30
Lagakos, Prof. Stephen W. 1946 1980 2009-10-11
Fisk, Mr. Peter Reginald 1929 1971 2009-10-01
Oktaba, Prof. Em. Wiktor 1920 1975 2009-09-05
Krótki, Prof. Dr. Karol Józef 1922 1977 2007-07-05
Statulevicius, Prof. Vytautas 1929 1976 2003-11-23