JAMES DURBIN James Durbin 1923–2012
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F:\RSS\Me\Society's Mathemarica
School of Social Sciences Economics Division University of Southampton Southampton SO17 1BJ, UK Discussion Papers in Economics and Econometrics Mathematics in the Statistical Society 1883-1933 John Aldrich No. 0919 This paper is available on our website http://www.southampton.ac.uk/socsci/economics/research/papers ISSN 0966-4246 Mathematics in the Statistical Society 1883-1933* John Aldrich Economics Division School of Social Sciences University of Southampton Southampton SO17 1BJ UK e-mail: [email protected] Abstract This paper considers the place of mathematical methods based on probability in the work of the London (later Royal) Statistical Society in the half-century 1883-1933. The end-points are chosen because mathematical work started to appear regularly in 1883 and 1933 saw the formation of the Industrial and Agricultural Research Section– to promote these particular applications was to encourage mathematical methods. In the period three movements are distinguished, associated with major figures in the history of mathematical statistics–F. Y. Edgeworth, Karl Pearson and R. A. Fisher. The first two movements were based on the conviction that the use of mathematical methods could transform the way the Society did its traditional work in economic/social statistics while the third movement was associated with an enlargement in the scope of statistics. The study tries to synthesise research based on the Society’s archives with research on the wider history of statistics. Key names : Arthur Bowley, F. Y. Edgeworth, R. A. Fisher, Egon Pearson, Karl Pearson, Ernest Snow, John Wishart, G. Udny Yule. Keywords : History of Statistics, Royal Statistical Society, mathematical methods. -
Elect New Council Members
Volume 43 • Issue 3 IMS Bulletin April/May 2014 Elect new Council members CONTENTS The annual IMS elections are announced, with one candidate for President-Elect— 1 IMS Elections 2014 Richard Davis—and 12 candidates standing for six places on Council. The Council nominees, in alphabetical order, are: Marek Biskup, Peter Bühlmann, Florentina Bunea, Members’ News: Ying Hung; 2–3 Sourav Chatterjee, Frank Den Hollander, Holger Dette, Geoffrey Grimmett, Davy Philip Protter, Raymond Paindaveine, Kavita Ramanan, Jonathan Taylor, Aad van der Vaart and Naisyin Wang. J. Carroll, Keith Crank, You can read their statements starting on page 8, or online at http://www.imstat.org/ Bani K. Mallick, Robert T. elections/candidates.htm. Smythe and Michael Stein; Electronic voting for the 2014 IMS Elections has opened. You can vote online using Stephen Fienberg; Alexandre the personalized link in the email sent by Aurore Delaigle, IMS Executive Secretary, Tsybakov; Gang Zheng which also contains your member ID. 3 Statistics in Action: A If you would prefer a paper ballot please contact IMS Canadian Outlook Executive Director, Elyse Gustafson (for contact details see the 4 Stéphane Boucheron panel on page 2). on Big Data Elections close on May 30, 2014. If you have any questions or concerns please feel free to 5 NSF funding opportunity e [email protected] Richard Davis contact Elyse Gustafson . 6 Hand Writing: Solving the Right Problem 7 Student Puzzle Corner 8 Meet the Candidates 13 Recent Papers: Probability Surveys; Stochastic Systems 15 COPSS publishes 50th Marek Biskup Peter Bühlmann Florentina Bunea Sourav Chatterjee anniversary volume 16 Rao Prize Conference 17 Calls for nominations 19 XL-Files: My Valentine’s Escape 20 IMS meetings Frank Den Hollander Holger Dette Geoffrey Grimmett Davy Paindaveine 25 Other meetings 30 Employment Opportunities 31 International Calendar 35 Information for Advertisers Read it online at Kavita Ramanan Jonathan Taylor Aad van der Vaart Naisyin Wang http://bulletin.imstat.org IMSBulletin 2 . -
Amstat News May 2011 President's Invited Column
May 2011 • Issue #407 AMSTATNEWS The Membership Magazine of the American Statistical Association • http://magazine.amstat.org Croatia Bosnia Serbia Herzegovina ThroughPeace Statistics ALSO: Meet Susan Boehmer, New IRS Statistics of Income Director Publications Agreement No. 41544521 Mining the Science out of Marketing Math Sciences in 2025 AMSTATNews May 2011 • Issue #407 Executive Director Ron Wasserstein: [email protected] Associate Executive Director and Director of Operations features Stephen Porzio: [email protected] 3 President’s Invited Column Director of Education Martha Aliaga: [email protected] 5 Pfizer Contributes to ASA's Educational Ambassador Program Director of Science Policy 5 TAS Article Cited in Supreme Court Case Steve Pierson: [email protected] 7 Writing Workshop for Junior Researchers to Take Place at JSM Managing Editor Megan Murphy: [email protected] 8 Meet Susan Boehmer, New IRS Statistics of Income Director Production Coordinators/Graphic Designers 10 Peace Through Statistics Melissa Muko: [email protected] 15 Statistics in Biopharmaceutical Research Kathryn Wright: [email protected] May Issue of SBR: A Festschrift for Gary Koch Publications Coordinator Val Nirala: [email protected] 16 Journal of the American Statistical Association March JASA Features ASA President’s Invited Address Advertising Manager Claudine Donovan: [email protected] 19 Technometrics Fingerprint Individuality Assessment Featured in May Issue Contributing Staff Members Pam Craven • Rosanne Desmone • Fay Gallagher • Eric Sampson Amstat News welcomes news items and letters from readers on matters of interest to the association and the profession. Address correspondence to Managing Editor, Amstat News, American Statistical Association, 732 North Washington Street, Alexandria VA 22314-1943 USA, or email amstat@ columns amstat.org. -
Calibrated Bayes: a Bayes/Frequentist Roadmap
Calibrated Bayes: A Bayes/Frequentist Roadmap Roderick LITTLE pects of the conflict are illustrated with basic and more general examples. In Sections 3 and 4, I provide my personal perspec- The lack of an agreed inferential basis for statistics makes life tive on strengths and weaknesses of the frequentist and Bayesian “interesting” for academic statisticians, but at the price of nega- approaches to statistics, and in Section5Iarguethat calibrated tive implications for the status of statistics in industry, science, Bayes is a compromise that capitalizes on the strengths of both and government. The practice of our discipline will mature only systems of inference. The calibrated Bayes compromise pro- when we can come to a basic agreement about how to apply vides a useful roadmap, but remains sketchy on the boundary statistics to real problems. Simple and more general illustrations between inference and model selection, suggesting areas of fu- are given of the negative consequences of the existing schism ture development. In Section 6, I discuss some implications of between frequentists and Bayesians. the proposed compromise for the future teaching and practice An assessment of strengths and weaknesses of the frequen- of statistics. tist and Bayes systems of inference suggests that calibrated Bayes—a compromise based on the work of Box, Rubin, and 2. THE BAYES/FREQUENTIST SCHISM: others—captures the strengths of both approaches and provides DOES IT MATTER? a roadmap for future advances. The approach asserts that infer- I was a student of statistics in London in the early 1970s, ences under a particular model should be Bayesian, but model when debates raged about alternative philosophies of statistics. -
“It Took a Global Conflict”— the Second World War and Probability in British
Keynames: M. S. Bartlett, D.G. Kendall, stochastic processes, World War II Wordcount: 17,843 words “It took a global conflict”— the Second World War and Probability in British Mathematics John Aldrich Economics Department University of Southampton Southampton SO17 1BJ UK e-mail: [email protected] Abstract In the twentieth century probability became a “respectable” branch of mathematics. This paper describes how in Britain the transformation came after the Second World War and was due largely to David Kendall and Maurice Bartlett who met and worked together in the war and afterwards worked on stochastic processes. Their interests later diverged and, while Bartlett stayed in applied probability, Kendall took an increasingly pure line. March 2020 Probability played no part in a respectable mathematics course, and it took a global conflict to change both British mathematics and D. G. Kendall. Kingman “Obituary: David George Kendall” Introduction In the twentieth century probability is said to have become a “respectable” or “bona fide” branch of mathematics, the transformation occurring at different times in different countries.1 In Britain it came after the Second World War with research on stochastic processes by Maurice Stevenson Bartlett (1910-2002; FRS 1961) and David George Kendall (1918-2007; FRS 1964).2 They also contributed as teachers, especially Kendall who was the “effective beginning of the probability tradition in this country”—his pupils and his pupils’ pupils are “everywhere” reported Bingham (1996: 185). Bartlett and Kendall had full careers—extending beyond retirement in 1975 and ‘85— but I concentrate on the years of setting-up, 1940-55. -
From the Editor
FROM THE EDITOR This issue contains seven articles on sampling methods, five other articles, three reports, an obituary and acknowledgements of referees of volume 6. There are following seven articles devoted to some problems of sampling surveys: 1. Ranked Set Sampling and Its Applications in Finite Population Studies (by B. Kowalczyk from Poland). Several authors have studied various problems concerning ranked set sampling (RSS) design when sampling is implemented from an infinite population. In the present paper emphasis is placed on the implementation of RSS procedure from finite populations. The author examines basic properties of a population mean and total estimator under RSS using unified finite population theory. The author also conducts several simulation studies based on real data, which illustrate possibilities of applications of RSS design and point out a new aspect of RSS, which has not been analyzed so far. Ranking (semi-ranking) on a basis of grouped data is the new aspect of RSS presented in this paper. This approach seems to have many applications in finite population practice. 2. Multivariate Sample Allocation Problem in Two Schemes of Two-Stage Sampling (by M. Kozak from Poland). The paper contains considerations on a multivariate sample allocation in two-stage sampling. The author proposes the formulas of the sample allocation in two schemes of the multivariate two-stage sampling, i.e., SI, SI, and a special case of pps, SI, with the same sample sizes of secondary sampling units from primary sampling units. In both cases a self- weighting design is used. 3. A General Family of Estimators for Estimating Population Mean Using Two Auxiliary Variables in Two-Phase Sampling (by H.P. -
Volumen 53 Volumen 64
ESTESTADISTICAADÍSTICA volumen 53 volumen 64 Junio y Diciembre 2012 número 182 y 183 REVISTREVISTAA DEL SEMESTRAL INSTITUTO DEL INSTITUTO INTERAMERICANOINTERAMERICANO DE DE EST ESTADÍSTICAADÍSTICA BIANNUAL JOURNALJOURNAL OF THTHEE INTER-AMERICANINTER-AMERICAN ST ASTATISTICALTISTICAL INSTITUTE INSTITUTE EDITORA EN JEFE / EDITOR IN CHIEF CLYDE CHARRE DE TRABUCHI Consultora/Consultant French 2740, 5º A 1425 Buenos Aires, Argentina Tel (54-11) 4824-2315 e-mail [email protected] e-mail [email protected] EDITORA EJECUTIVA / EXECUTIVE EDITOR VERONICA BERITICH Instituto Nacional de Estadística y Censos (INDEC) Ramallo 2846 1429 Buenos Aires, Argentina Tel (54-11) 4703-0585 e-mail [email protected] EDITORES ASOCIADOS / ASSOCIATE EDITORS D. ANDRADE G. ESLAVA P. MORETTIN Univ. Fed. Sta. Catalina, BRASIL UNAM, MEXICO Univ. de Sao Pablo, BRASIL M. BLACONA A. GONZALEZ VILLALOBOS F. NIETO Univ. de Rosario, ARGENTINA Consultor/Consultant, ARGENTINA Univ. de Colombia, COLOMBIA J. CERVERA FERRI V. GUERRERO GUZMAN J. RYTEN Consultor/Consultant, ESPAÑA ITAM, MEXICO Consultor/Consultant, CANADA E. DAGUM R. MARONNA * S. SPECOGNA Consultor/Consultant, CANADA Univ. de La Plata, ARGENTINA ANSES, ARGENTINA E. de ALBA I. MENDEZ RAMIREZ P. VERDE INEGI, MEXICO IIMAS/UNAM, MEXICO University of Düsseldorf, ALEMANIA P. do NASCIMENTO SILVA M. MENDOZA RAMIREZ V. YOHAI ENCE/IBGE, BRASIL ITAM, MEXICO Univ. de Buenos Aires, ARGENTINA L. ESCOBAR R. MENTZ Louisiana State Univ., USA Univ. de Tucumán, ARGENTINA * Asistente de las Editoras / Editors’ Assistant ESTADÍSTICA (2012), 64, 182 y 183, pp. 5-22 © Instituto Interamericano de Estadística JAMES DURBIN: IN MEMORIAM JUAN CARLOS ABRIL Universidad Nacional de Tucumán, Facultad de Ciencias Económicas y Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). -
Three Twin Sciences, Born with the First Census
Three twin sciences, born with the fi rst census Associate Professor Gheorghe SĂVOIU, Ph.D. [email protected] Lecturer Mariana BĂNUŢĂ, Ph.D. [email protected] Lecturer Mihaela GADOIU, Ph.D. [email protected] University of Piteşti, Faculty of Economic Sciences Abstract: The hyphotesis of this paper is based on the idea that three sciences have been born during the same event or ancient period: the fi rst census. These three memorable sciences are statistics, demography and accountancy. This paper presents an brief analysis of the common history of these three sciences. The results of this analysis represents the basis for a comparative study in the future about the common moments for the multidisciplinary investigations such as the census. Keywords: alphabet, census, statistics, demography, accountancy. JEL classifi cation: C46, E16, J11, H83, N33. 1. Introduction The occurrence of proto-statistics or old statistics and of the fi rst specifi c data and information are related to the census as a periodic set of state records concerning the population (subsequently defi ned by Romans as census or by periodic resumption census), land, agriculture, ships built, navigation, and have an attested oldness of approximately fi ve to six thousand years. Ancient civilizations from the Mesopotamian, Egyptian, Chinese, and Greek one to the Roman Empire, as well as the whole Middle Ages do not indicate the systematization of concepts, principles, methods, techniques and instruments, able to prove the scientifi c nature of statistics. Between the fi rst Roman “census”, from the time of King Servius Tullius (6th century b.C.) and the English cadastre, performed between 1083 and 1086, in the time of William the Conqueror, no clear idea about the independent nature of statistics as a science appears. -
Salt Lake City a B JSM 2007 Table of Contents
Salt Lake City A B JSM 2007 Table of Contents General Information Career Placement Service Housing Map and Hotel Listing .........................................2 Floor Plan .......................................................................23 Convention Center and Hotel Floor Plans ...........................3 Employer Listing ............................................................23 Registration Area Floor Plan ..............................................5 Committee and Society Tables ..........................................5 Exhibitors While at JSM ....................................................................6 EXPO 2007 Floor Plan ....................................................24 Meetings and Sessions .....................................................7 Exhibitors by Booth Number ...........................................25 Before Leaving JSM .........................................................8 Who’s Who in the Exhibit Hall .........................................26 Hours of Operation ...........................................................9 Keynote Speakers ...........................................................11 General Program Schedule IMS Special Lectures ......................................................12 Thursday, July 26 ...........................................................33 2007 Program Committee ..............................................14 Friday, July 27 ................................................................33 Local Area Committee ....................................................14 -
UK Royal Statistical Society Awards for Smith, Reid, Cressie
Volume 45 • Issue 3 IMS Bulletin April/May 2016 UK Royal Statistical Society CONTENTS awards for Smith, Reid, Cressie 1 RSS Awards: Adrian Smith, The UK’s Royal Statistical Society (RSS) has announced the recipients of its honours for Nancy Reid, Noel Cressie 2016. Three IMS Fellows were selected to receive the Guy Medals in Gold and Silver, and 2 Members’ News: Peter the Barnett Award. Whittle; Xihong Lin; Dennis The Guy Medal in Gold is awarded to SirAdrian Smith for sustained excellence in the Cook development of Bayesian statistical methodology and its application. Professor Sir Adrian Smith, FRS, is vice-chancellor of the University of London; he was formerly the Queen 3 Profile: Sanghamitra Bandyopadhyay; Geetha Mary University principal and worked at the UK Government’s Department for Business, Ramachandran, 1949–2016 Innovation and Skills. His work in statistics has been critical to the transformation of Bayesian thinking from 4 Obituary: Peter Gavin Hall philosophical debate to practical methodology, includ- 5 Student Puzzle 13: ing path-breaking work on the now ubiquitous use deadline extended of Monte Carlo methods for conducting inference in 6 Calls for nominations; realistically complex models. He played an instrumental Tweedie Award winner role in broadening the focus of the RSS from the statistical community to the impact that the discipline 7 Medallion Lecture preview: Adrian Smith Gerda Claeskens of statistics has on modern society, an approach that he continued within the Civil Service on leaving academia. 8 Recent papers: Stochastic Systems; Probability Surveys The Guy Medal in Silver for 2016 is awarded toNancy Reid for her path-breaking paper “Parameter Orthogonality and Approximate Vlada’s Point: Peer Review I 9 Conditional Inference,” written jointly with Sir David 10 Buy IMS books Cox, which is one of the most highly cited and influen- tial papers in RSS journals within the last 30 years. -
An Engine, Not a Camera Studies of Science and the Institute for Scientific Information, for Career Contributions to the Field of Science Studies
MacKenzie_jkt.qxd 3/30/06 1:27 PM Page 1 economics/science, technology, and society Donald MacKenzie is Professor of Sociology (Personal Chair) at the University of Edinburgh. He was the winner of the 2005 John Desmond Bernal Prize, awarded jointly by the Society for Social An Engine, Not a Camera Studies of Science and the Institute for Scientific Information, for career contributions to the field of science studies. His books “In one lifetime modern finance theory has revolutionized the arts of canny include Inventing Accuracy (1990), Knowing Machines (1996), and investing. MacKenzie knows this exciting story, and he tells it well.” How Financial Models Shape Markets Mechanizing Proof (2001), all published by The MIT Press. Portions Paul A. Samuelson, MIT, Nobel Laureate in Economic Sciences (1970) An Engine, Not a Camera of An Engine, Not a Camera won the Viviana A. Zelizer Prize in . economic sociology from the American Sociological Association. “Having returned from an audacious incursion into the black box of modern How Financial Models Shape Markets financial markets, Donald MacKenzie shows how economic theory has succeeded in capturing and shaping them. This book will be of substantial interest to specialists in a range of fields including economics, finance theory, Donald MacKenzie economic sociology, and science and technology studies. But MacKenzie’s tour An h de force is to make clear, even to nonspecialists, that through complex tech- Engine, DDoonnaallddMMaaccKKeennzziiee nical issues, alternative forms of economic organization can be imagined and Not a In An Engine, Not a Camera, Donald MacKenzie argues that the discussed.” Camera emergence of modern economic theories of finance affected Michel Callon, Ecole des Mines de Paris financial markets in fundamental ways. -
An Interesting Reading "History of Statistics on Timeline"
History of Statistics on Timeline V.K. Gupta, B.N. Mandal and Rajender Parsad ICAR-Indian Agricultural Statistics Research Institute Libray Avenue, Pusa, New Delhi – 110012, INDIA ____________________________________________________________________________________________________________________ SUMMARY The purpose of this article is to give the historical developments in the theory and applications of Statistics starting from pre-historic times till the beginning of the 20th century when the foundations of modern statistics were laid. Some selected contributions of prominent Indian statisticians have also been listed. The development of some selected statistical journals on the time line is also given. No claim is being made on the coverage being exhaustive. Keywords: Statistics in the ancient times, Modern statistics, Important selected journals. ____________________________________________________________________________________________________________________ Corresponding author: B.N. Mandal Email address: [email protected] 1. HISTORY OF STATISTICS ON TIME LINE Note: BCE ~ Before Common Era (or BC ~ Before Christ); CE ~ Common Era (or AD ~ Anno Domini) Time Contributor Contribution Dwaparyuga ‒ Mahabharata; Vana Prarva; Nala and king Bhangasuri were moving in a chariot through a forest. Bhangasuri told Kalayuga Nala – Damyanti Akhyan Nala that if he can count how many fallen leaves and fruits are there, he (Bhangasuri) can tell the number of fruits and leaves on two strongest branches of Vibhitak tree. One above one hundred are the number of leaves and one fruit informed Nala after counting the fallen leaves and fruit. Bhangasuri avers 2095 fruits and five ten million leaves on the two strongest branches of the tree (actually it is 5 koti leaves and 1 koti is 10 million). Nala counts all night and is duly amazed by morning.