Decision Management,” a Little-Recognized but Crucial Element of Every Manager’S Port- Folio of Core Responsibilities
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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. -
WILLIAM GEMMELL COCHRAN July 15, 1909-March29, 1980
NATIONAL ACADEMY OF SCIENCES WILLIAM GEMMELL C OCHRAN 1909—1980 A Biographical Memoir by MORRIS HANSEN AND FREDERICK MOSTELLER Any opinions expressed in this memoir are those of the author(s) and do not necessarily reflect the views of the National Academy of Sciences. Biographical Memoir COPYRIGHT 1987 NATIONAL ACADEMY OF SCIENCES WASHINGTON D.C. WILLIAM GEMMELL COCHRAN July 15, 1909-March29, 1980 BY MORRIS HANSEN AND FREDERICK MOSTELLER ILLIAM GEMMELL COCHRAN was born into modest Wcircumstances on July 15, 1909, in Rutherglen, Scot- land. His father, Thomas, the eldest of seven children, had begun his lifetime employment with the railroad at the age of thirteen. The family, consisting of Thomas, his wife Jean- nie, and sons Oliver and William, moved to Gourock, a hol- iday resort town on the Firth of Clyde, when William was six, and to Glasgow ten years later. Oliver has colorful recollections of their childhood. At age five, Willie (pronounced Wully), as he was known to family and friends, was hospitalized for a burst appendix, and his life hung in the balance for a day. But soon he was home, wearying his family with snatches of German taught him by a German patient in his nursing-home ward. Willie had a knack for hearing or reading something and remembering it. Oliver recalls that throughout his life, Willie would walk or sit around reciting poems, speeches, advertisements, mu- sic hall songs, and in later life oratorios and choral works he was learning. Until Willie was sixteen, the family lived in an apartment known in Scotland as a "two room and kitchen"—a parlor- cum-dining room (used on posh occasions, about twelve times a year), a bedroom used by the parents, and a kitchen. -
The Development of Statistical Design and Analysis Concepts at Rothamsted
The Development of Statistical Design and Analysis Concepts at Rothamsted Roger Payne, VSN International,Hemel Hempstead, Herts, UK (and Rothamsted Research, Harpenden, Herts UK). email: [email protected] DEMA 2011 1/9/11 Rothamsted 100 years ago •significance test (Arbuthnot 1710) •Bayes theorem (Bayes 1763) •least squares (Gauss 1809, Legendre 1805) •central limit theorem (Laplace 1812) • distributions of large-samples tend to become Normal •"Biometric School" Karl Pearson, University College • correlation, chi-square, method of moments •t-test (Gosset 1908) •Fisher in Stats Methods for Research Workers • "..traditional machinery of statistical processes is wholly unsuited to the needs of practical research. Not only does it take a cannon to shoot a sparrow, but it misses the sparrow!" .. Rothamsted • Broadbalk – set up by Sir John Lawes in 1843 to study the effects of inorganic fertilisers on crop yields • had some traces of factorial structure, but no replication, no randomization and no blocking • and not analysed statistically until 1919.. Broadbalk •treatments on the strips 01 (Fym) N4 11 N4 P Mg 21 Fym N3 12 N1+3+1 (P) K2 Mg2 22 Fym 13 N4 P K 03 Nil 14 N4 P K* (Mg*) 05 (P) K Mg 15 N5 (P) K Mg 06 N1 (P) K Mg 16 N6 (P) K Mg 07 N2 (P) K Mg 17 N1+4+1 P K Mg 08 N3 (P) K Mg 18 N1+2+1 P K Mg 09 N4 (P) K Mg 19 N1+1+1 K Mg 10 N4 20 N4 K Mg •hints of factorial structure (e.g. -
Fall 2009 Arrowhead Newsletter
Arrowhead • Fall 2009 1 Arrowhead Fall 2009 • Vol. 16 • No. 4 The Newsletter of the Employees & Alumni Association of the National Park Service Published By Eastern National FROM THE DIRECTOR Port Chicago Naval Magazine s I write this A column, my first as National N MEM Added to Park System Park Service direc- tor, I am remember- he National Park System has gained cisco, hurled debris in the air, obliterat- resume loading ships for the war effort. ing my confirmation ed both ships and killed everyone at the just a few weeks Ta new park: Port Chicago Naval Many refused to continue their work ago. Although I Magazine National Memorial in Con- waterfront. To this day, because of the without safety training, and the U.S. accepted this re- cord, Calif. With President Obama’s tragedy, ignition sources for bombs and Navy charged 50 of these men with sponsibility humbled by its impor- signing of the Defense Authorization guns are loaded separately on carriers. “conspiring to make mutiny.” They tance and excited about the Act, on Oct. 28 Port Chicago became The disaster caused the greatest loss of were tried, convicted and imprisoned. possibilities, something happened the 392nd unit of a system fondly life on the home front during World War After the war, they were released, grant- that has happened countless referred to as “America’s best idea.” II. Three-hundred-twenty men died, and ed clemency, allowed to complete their times throughout my career—when “The addition of Port Chicago demon- almost 400 others were injured. Of the military service and given honorable dis- I thought it couldn’t get any strates a commitment to make America’s 320 killed, 202 were African Americans. -
Good, Irving John Employment Grants Degrees and Honors
CV_July_24_04 Good, Irving John Born in London, England, December 9, 1916 Employment Foreign Office, 1941-45. Worked at Bletchley Park on Ultra (both the Enigma and a Teleprinter encrypting machine the Schlüsselzusatz SZ40 and 42 which we called Tunny or Fish) as the main statistician under A. M. Turing, F. R. S., C. H. O. D. Alexander (British Chess Champion twice), and M. H. A. Newman, F. R. S., in turn. (All three were friendly bosses.) Lecturer in Mathematics and Electronic Computing, Manchester University, 1945-48. Government Communications Headquarters, U.K., 1948-59. Visiting Research Associate Professor, Princeton, 1955 (Summer). Consultant to IBM for a few weeks, 1958/59. (Information retrieval and evaluation of the Perceptron.) Admiralty Research Laboratory, 1959-62. Consultant, Communications Research Division of the Institute for Defense Analysis, 1962-64. Senior Research Fellow, Trinity College, Oxford, and Atlas Computer Laboratory, Science Research Council, Great Britain, 1964-67. Professor (research) of Statistics, Virginia Polytechnic Institute and State University since July, 1967. University Distinguished Professor since Nov. 19, 1969. Emeritus since July 1994. Adjunct Professor of the Center for the Study of Science in Society from October 19, 1983. Adjunct Professor of Philosophy from April 6, 1984. Grants A grant, Probability Estimation, from the U.S. Dept. of Health, Education and Welfare; National Institutes of Health, No. R01 Gm 19770, was funded in 1970 and was continued until July 31, 1989. (Principal Investigator.) Also involved in a grant obtained by G. Tullock and T. N. Tideman on Public Choice, NSF Project SOC 78-06180; 1977-79. Degrees and Honors Rediscovered irrational numbers at the age of 9 (independently discovered by the Pythagoreans and described by the famous G.H.Hardy as of “profound importance”: A Mathematician’s Apology, §14). -
DOCUMENT RESUME ED 297 144 CE 050 651 TITLE Washington
DOCUMENT RESUME ED 297 144 CE 050 651 TITLE Washington State Traffic Safety Education Curriculum Guide. A Master Guide for Implementing a Performance-Based Curriculum. INSTITUTION Washington Office of the State Superintendent of Public Instruction, Olympia. Div. of Vocational-Technical and Adult Education Services. PUB DATE Apr 87 NOTE 338p. PUB TYPE Guides Classroom Use - Guides (For Teachers) (052) EDRS PRICE MFO1 /PC14 Plus Postage. DESCRIPTORS *Driver Education; High Schools; Motor Vehicles; *Safety Education; Signs; Traffic Accidents; Traffic Control; *Traffic Safety ABSTRACT This guide for implementing performance-based curriculum is intended to teach students decision-making driving. Heavy emphasis is put on the tasks and concepts involving traffic flow tasks (interacting with other highway users) and the functions and factors that affect that interaction. It is a "90-hour" guide, that is, the average student needs about 90 hours of classroom and independent study time to complete the activities, exclusive of in-car lessons and practice. Nineteen modules are providedm introduction to the highway transportation system, preparing and controlling, maneuvering in limited space; signs, signals, and pavement markings; human functions; intersections; traffic flow; lane changes; passing on two-lane roadway; freeway driving; complex driving; obtaining a driver's license; avoiding and minimizing impact, vehicle malfunctioning; vehicle characteristics, motorcycle awareness, nonmoturized traffic; roadway variations; limited visibility, lessened traction, special driving conditions; legal responsibilities, post-crash responsibilities; planning for travel; internal factors, physical factors, alcohol and ,ther drugs; vehicle maintenance; and system improvement, fuel conservation. Each module consists of a list of objectives; student learning activities (classroom group and independent study); teacher-led discussion outline; overhead transparency masters; study sheets; and worksheets. -
The Leadership Challenge
Praise for the Fifth Edition of The Leadership Challenge “My heart goes out to Jim Kouzes and Barry Posner with the deepest gratitude for this book, the most powerful leadership resource available. It is providential that at a time of the lowest level of trust and the highest level of cynicism, The Leader- ship Challenge arrives with its message of hope. When there are dark days in our lives, Kouzes and Posner will shine a light.” —Frances Hesselbein, former CEO, Girl Scouts of the USA; author, My Life in Leadership “Jim Kouzes and Barry Posner have taken one of the true leadership classics of the late twentieth century and made it freshly relevant for today’s twenty-first century leaders. It is a must-read for today’s leaders who aspire to contribute in a more significant way tomorrow.” —Douglas R. Conant, New York Times bestselling author, TouchPoints; retired CEO, Campbell Soup Company “For twenty-five years, the names Jim Kouzes and Barry Posner have been synony- mous with leadership. There is a reason for that. This book, in its new and updated form, demonstrates that leadership is a challenge you must win every day. It shows that every leader is unique, with his or her own style, and it helps you find your style. But the real beauty of this book is that it does not just tell you about leader- ship. It takes you by the hand, and walks you through the steps necessary to be better at what you do. It also gives you the confidence to take the kinds of risks every leader needs to take to succeed. -
“I Didn't Want to Be a Statistician”
“I didn’t want to be a statistician” Making mathematical statisticians in the Second World War John Aldrich University of Southampton Seminar Durham January 2018 1 The individual before the event “I was interested in mathematics. I wanted to be either an analyst or possibly a mathematical physicist—I didn't want to be a statistician.” David Cox Interview 1994 A generation after the event “There was a large increase in the number of people who knew that statistics was an interesting subject. They had been given an excellent training free of charge.” George Barnard & Robin Plackett (1985) Statistics in the United Kingdom,1939-45 Cox, Barnard and Plackett were among the people who became mathematical statisticians 2 The people, born around 1920 and with a ‘name’ by the 60s : the 20/60s Robin Plackett was typical Born in 1920 Cambridge mathematics undergraduate 1940 Off the conveyor belt from Cambridge mathematics to statistics war-work at SR17 1942 Lecturer in Statistics at Liverpool in 1946 Professor of Statistics King’s College, Durham 1962 3 Some 20/60s (in 1968) 4 “It is interesting to note that a number of these men now hold statistical chairs in this country”* Egon Pearson on SR17 in 1973 In 1939 he was the UK’s only professor of statistics * Including Dennis Lindley Aberystwyth 1960 Peter Armitage School of Hygiene 1961 Robin Plackett Durham/Newcastle 1962 H. J. Godwin Royal Holloway 1968 Maurice Walker Sheffield 1972 5 SR 17 women in statistical chairs? None Few women in SR17: small skills pool—in 30s Cambridge graduated 5 times more men than women Post-war careers—not in statistics or universities Christine Stockman (1923-2015) Maths at Cambridge. -
The Emergence of Modern Statistics in Agricultural Science
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by DepositOnce Giuditta Parolini The emergence of modern statistics in agricultural science Analysis of variance, experimental design and the reshaping of research at Rothamsted Experimental Station, 1919–1933 Postprint This version is available at https://doi.org/10.14279/depositonce-6739. Suggested Citation Parolini, Giuditta: The emergence of modern statistics in agricultural science: Analysis of variance, experimental design and the reshaping of research at Rothamsted Experimental Station, 1919–1933. - In: Journal of the History of Biology. - ISSN: 1573-0387. - 48 (2014) 2. - pp. 301-335. - DOI: 10.1007/s10739-014-9394-z. (Postprint version is cited, page numbers may differ.) Terms of Use This is a post-peer-review, pre-copyedit version of an article published in Journal of the History of Biology. The final authenticated version is available online at: https://doi.org/10.1007/s10739-014-9394-z. Powered by TCPDF (www.tcpdf.org) The Emergence of Modern Statistics in Agricultural Science: Analysis of Variance, Experimental Design and the Reshaping of Research at Rothamsted Experimental Station, 1919-1933. Giuditta Parolini Postdoctoral fellow, Technische Universität Berlin and Berliner Zentrum für Wissensgeschichte Statistical methods have transformed experimental practices in the biological, medical, and social sciences during the twentieth century. Qualitative evidence has largely been replaced by quantitative results and the tools of statistical inference have helped foster a new ideal of objectivity in scientific knowledge (Gigerenzer et al., 1989; Porter, 1996, chapter 8). Increasingly engaged as consultants in experimental research as well as in business and administration, statisticians have represented themselves as the “backroom boys” (Fisher, 1953, p. -
Alan Agresti
Historical Highlights in the Development of Categorical Data Analysis Alan Agresti Department of Statistics, University of Florida UF Winter Workshop 2010 CDA History – p. 1/39 Karl Pearson (1857-1936) CDA History – p. 2/39 Karl Pearson (1900) Philos. Mag. Introduces chi-squared statistic (observed − expected)2 X2 = X expected df = no. categories − 1 • testing values for multinomial probabilities (Monte Carlo roulette runs) • testing fit of Pearson curves • testing statistical independence in r × c contingency table (df = rc − 1) CDA History – p. 3/39 Karl Pearson (1904) Advocates measuring association in contingency tables by approximating the correlation for an assumed underlying continuous distribution • tetrachoric correlation (2 × 2, assuming bivariate normality) X2 2 • contingency coefficient 2 based on for testing q X +n X independence in r × c contingency table • introduces term “contingency” as a “measure of the total deviation of the classification from independent probability.” CDA History – p. 4/39 George Udny Yule (1871-1951) (1900) Philos. Trans. Royal Soc. London (1912) JRSS Advocates measuring association using odds ratio n11 n12 n21 n22 n n n n − n n θˆ = 11 22 Q = 11 22 12 21 = (θˆ − 1)/(θˆ + 1) n12n21 n11n22 + n12n21 “At best the normal coefficient can only be said to give us. a hypothetical correlation between supposititious variables. The introduction of needless and unverifiable hypotheses does not appear to me a desirable proceeding in scientific work.” (1911) An Introduction to the Theory of Statistics (14 editions) CDA History – p. 5/39 K. Pearson, with D. Heron (1913) Biometrika “Unthinking praise has been bestowed on a textbook which can only lead statistical students hopelessly astray.” . -
Religion and Education: a Study of the Interrelationship Between Fundamentalism and Education in Contemporary America Lanny R
East Tennessee State University Digital Commons @ East Tennessee State University Electronic Theses and Dissertations Student Works May 1985 Religion and Education: A Study of the Interrelationship Between Fundamentalism and Education in Contemporary America Lanny R. Bowers East Tennessee State University Follow this and additional works at: https://dc.etsu.edu/etd Part of the Other Education Commons Recommended Citation Bowers, Lanny R., "Religion and Education: A Study of the Interrelationship Between Fundamentalism and Education in Contemporary America" (1985). Electronic Theses and Dissertations. Paper 2639. https://dc.etsu.edu/etd/2639 This Dissertation - Open Access is brought to you for free and open access by the Student Works at Digital Commons @ East Tennessee State University. It has been accepted for inclusion in Electronic Theses and Dissertations by an authorized administrator of Digital Commons @ East Tennessee State University. For more information, please contact [email protected]. INFORMATION TO USERS Tliis reproduction was made from a copy of a document sent to us Tor microfilming. While the most advanced technology has been used to photograph and reproduce this document, the quality of the reproduction is heavily dependent upon the quality of the material submitted. The following explanation of techniques Is provided to help clarify markings or notations which may appear on this reproduction. 1.The sign or "target" for pages apparently lacking from the document photographed is "Missing Page(s)". If it was possible to obtain the missing page(s) or section, they are spliced into the film along with adjacent pages. This may have necessitated cutting through an image and duplicating adjacent pages to assure complete continuity. -
In Pursuit of a Science of Agriculture: the Role of Statistics in Field Experiments
Giuditta Parolini In pursuit of a science of agriculture: the role of statistics in field experiments Article, Postprint version This version is available at http://dx.doi.org/10.14279/depositonce-6754. Suggested Citation Parolini, Giuditta: In pursuit of a science of agriculture: the role of statistics in field experiments. - In: History and philosophy of the life sciences. - ISSN: 1742-6316 (online), 0391-9714 (print). - 37 (2015), 3. - pp. 261–281. - DOI: 10.1007/s40656-015-0075-9. (Postprint is cited, page numbers differ.) This is a post-peer-review, pre-copyedit version of an article published in History and philosophy of the life sciences. The final authenticated version is available online at: http://dx.doi.org/10.1007/s40656-015-0075-9. Terms of Use Copyright applies. A non-exclusive, non-transferable and limited right to use is granted. This document is intended solely for personal, non-commercial use. Powered by TCPDF (www.tcpdf.org) In Pursuit of a Science of Agriculture: The Role of Statistics in Field Experiments In Pursuit of a Science of Agriculture: The Role of Statistics in Field Experiments Giuditta Parolini Postdoctoral fellow, Technische Universität Berlin and Berliner Zentrum für Wissensgeschichte Introduction “I do not always agree with Sir Ronald Fisher, but it is due to him that the standard of presentation of results in agriculture is better than in any of the so-called exact sciences; and this is a state of affairs that physicists should cease to tolerate” (Jeffreys 1953: 119). In this way, Harold Jeffreys, geophysicist and statistician, concluded his address to Section A (Physics and Mathematics) of the British Association for the Advancement of Science.