List of statisticians

This list of statisticians lists people who have made notable contributions to the theories or application of statistics, or to the related fields of probability or machine learning. Also included are actuaries and demographers.

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See also

External links

  • "Statisticians in History". American Statistical Association.
  • "Life and Work of Statisticians". Department of Mathematics, University of York.
  • John Aldrich. "Figures from the History of Probability and Statistics". University of Southampton.
Amanda L. Golbeck

Amanda L. Golbeck is a statistician, social scientist, and academic leader. She is known for her book, Leadership and Women in Statistics, and her book on Elizabeth L. Scott, Equivalence: Elizabeth L. Scott at Berkeley. She is known for her pioneering definition of health numeracy.

Golbeck is a professor in the Department of Biostatistics and the associate dean for academic affairs in the Fay W. Boozman College of Public Health at the University of Arkansas for Medical Sciences. She is chair of the AMS-ASA-MAA-SIAM Data Committee that oversees the Annual Survey of the Mathematical Sciences, as well as a member of the editorial board of Significance Magazine. Previously, she was the vice president for academic affairs at the Kansas Board of Regents and one of only seventeen American women statisticians known in 2016 to have ever held a senior academic leadership position.

Founders of statistics

Statistics is the theory and application of mathematics to the scientific method including hypothesis generation, experimental design, sampling, data collection, data summarization, estimation, prediction and inference from those results to the population from which the experimental sample was drawn. This article lists statisticians who have been instrumental in the development of theoretical and applied statistics.

List of mathematical probabilists

See probabilism for the followers of such a theory in theology or philosophy.This list contains only probabilists in the sense of mathematicians specializing in probability theory.

This list is incomplete; please add to it.David Aldous (1952–)

Robert Azencott - Professor of Mathematics, University of Houston, Emeritus Professor, Ecole Normale Superieure, France

Thomas Bayes (1702–1761) - British mathematician and Presbyterian minister, known for Bayes' theorem

Gerard Ben-Arous - Courant Institute of Mathematical Sciences

Itai Benjamini

Jakob Bernoulli (1654–1705) - Switzerland, known for Bernoulli trials

Joseph Louis François Bertrand (1822–1900)

Abram Samoilovitch Besicovitch (1891–1970)

Patrick Billingsley (1925–2011)

Carlo Emilio Bonferroni (1892–1960)

Émile Borel (1871–1956)

Kai Lai Chung (1917–2009)

Erhan Cinlar

Harald Cramér (1893–1985)

Persi Diaconis (1945–)

Joseph Leo Doob (1910–2004)

Lester Dubins (1920–2010)

Eugene Dynkin (1924–2014)

Robert J. Elliott (1940–)

Paul Erdős (1913–1996)

Alison Etheridge

Steve Evans

William Feller (1906–1970)

Bruno de Finetti (1906–1985) - Italian probabilist and statistician

Geoffrey Grimmett (1950–)

Alice Guionnet

Ian Hacking (1936–)

Paul Halmos (1916–2006)

Joseph Halpern

David Heath

Wassily Hoeffding (1914–1991)

Kiyoshi Itō (1915–2008)

Edwin Thompson Jaynes (1922–1998)

Mark Kac (1914–1984)

Olav Kallenberg

Rudolf E. Kálmán (1930–2016)

Samuel Karlin (1924–2007)

David George Kendall (1918–2007)

Richard Kenyon - Brown University

Harry Kesten (1931–)

John Maynard Keynes (1883–1946) - best known for his pioneering work in economics

Aleksandr Khinchin (1894–1959)

Andrey Kolmogorov (1903–1987)

Pierre-Simon Laplace (1749–1827)

Gregory Lawler

Lucien Le Cam (1924–2000)

Jean-François Le Gall

Paul Lévy (1886–1971)

Jarl Waldemar Lindeberg (1876–1932)

Andrey Markov (1856–1922)

Stefan Mazurkiewicz (1888–1945)

Henry McKean (1930–)

Paul-André Meyer (1934–2003)

Richard von Mises (1883–1953)

Abraham de Moivre (1667–1754)

Octav Onicescu (1892–1983)

K. R. Parthasarathy

Blaise Pascal (1623–1662)

Charles E. M. Pearce (1940–)

Yuval Peres

Edwin A. Perkins

Siméon Denis Poisson (1781–1840)

Yuri Vasilevich Prokhorov (1929–)

Frank P. Ramsey (1903–1930)

Alfréd Rényi (1921–1970)

Oded Schramm (1961–2008)

Romano Scozzafava

Scott Sheffield

Albert Shiryaev (1934–)

Yakov Sinai (1935–)

Ray Solomonoff (1926–2009)

Frank Spitzer (1926–1992)

Ruslan L. Stratonovich (1930–1997)

Daniel W. Stroock (1940–)

Alain-Sol Sznitman

Michel Talagrand (1952–)

Heinrich Emil Timerding (1873–1945)

Andrei Toom (1942–)

S. R. Srinivasa Varadhan (1940–) - 2007 Abel Prize laureate

Bálint Virág (1973–)

Wendelin Werner (1968–)

Norbert Wiener (1894–1964)

David Williams

Ofer Zeitouni (1960–) - Weizmann Institute

Rudolf Carnap (1891–1970) - one of the giants among twentieth-century philosophers (best known for confirmation probability)

Harold Jeffreys (1891–1989) - one of the giants within Bayesian statistics school

Richard Jeffrey (1926–2002) - best known for the philosophy of radical probabilism and Jeffrey conditioning

Terence Tao

Richard M. Dudley

William Timothy Gowers

Bálint Tóth

List of probability topics

This is a list of probability topics, by Wikipedia page.

It overlaps with the (alphabetical) list of statistical topics. There are also the outline of probability and catalog of articles in probability theory. For distributions, see List of probability distributions. For journals, see list of probability journals. For contributors to the field, see list of mathematical probabilists and list of statisticians.

Lists of mathematicians

This is a list of lists of mathematicians.

Lists by nationality, ethnicity or religion

List of African-American mathematicians

List of American mathematicians

List of Brazilian mathematicians

List of Chinese mathematicians

List of Greek mathematicians

List of Hungarian mathematicians

List of Indian mathematicians

List of Italian mathematicians

List of Jewish American mathematicians

List of Jewish mathematicians

List of Muslim mathematicians

List of Polish mathematicians

List of Russian mathematicians

List of Slovenian mathematicians

List of Ukrainian mathematicians

List of Turkish mathematicians

List of Welsh mathematicians

Lists by profession

List of actuaries

List of game theorists

List of geometers

List of logicians

List of mathematical probabilists

List of statisticians

List of quantitative analystsOther lists of mathematicians

List of Cambridge mathematicians

List of amateur mathematicians

List of mathematicians born in the 19th century

List of centenarians (scientists and mathematicians)

List of films about mathematicians

List of mathematicians, physicians, and scientists educated at Jesus College, Oxford

List of women in mathematics

Senior Wrangler (University of Cambridge)

Lists of mathematics topics

This article itemizes the various lists of mathematics topics. Some of these lists link to hundreds of articles; some link only to a few. The template to the right includes links to alphabetical lists of all mathematical articles. This article brings together the same content organized in a manner better suited for browsing.

The purpose of this list is not similar to that of the Mathematics Subject Classification formulated by the American Mathematical Society. Many mathematics journals ask authors of research papers and expository articles to list subject codes from the Mathematics Subject Classification in their papers. The subject codes so listed are used by the two major reviewing databases, Mathematical Reviews and Zentralblatt MATH. This list has some items that would not fit in such a classification, such as list of exponential topics and list of factorial and binomial topics, which may surprise the reader with the diversity of their coverage.

Lists of scientists

This page contains links to lists of scientists.

Lists of statistics topics

This article itemizes the various lists of statistics topics. Some of these lists link to hundreds of articles; some link only to a few.

Lukacs Distinguished Professor

The Lukacs Distinguished Professor chair was established in 1989 by the Department of Mathematics and Statistics at Bowling Green State University in honor of Eugene Lukacs, who came to Bowling Green with his colleagues Radha Laha and Vijay Rohatgi in 1972 to establish the doctoral program in statistics. Eugene Lukacs was Bowling Green's first Distinguished University Professor.Each year an outstanding senior researcher in probability or statistics is invited to serve as the Eugene Lukacs Distinguished Visiting Professor during the academic year or a semester. The Lukacs Professors are invited based on their distinguished record of research in the application or theory of probability or statistics. The Lukacs professor typically collaborates with current faculty on research, participates in seminars and colloquia, and typically gives a graduate course or presents a series of related seminars. Lukacs Professors have organized Lukacs Symposia on a variety of topics in probability and statistics.

Outline of statistics

Statistics is a field of inquiry that studies the collection, analysis, interpretation, and presentation of data. It is applicable to a wide variety of academic disciplines, from the physical and social sciences to the humanities; it is also used and misused for making informed decisions in all areas of business and government.

Roger Thatcher

Arthur Roger Thatcher (22 October 1926 – 13 February 2010), commonly known as Roger Thatcher or sometimes as A. Roger Thatcher, was a British statistician. Thatcher was born in Birmingham and spent his formative early years in Wilmslow, Cheshire. He attended The Leys School in Cambridge and went on to university at St John's College, Cambridge, where he concentrated his studies in statistics, economics, and mathematics. After brief training in meteorology as part of his national service, he instructed Royal Navy pilots in weather patterns. He married his wife Mary in 1950; they had two children.

He served in the North Western Gas Board before moving into the area of government statistics in 1952. He worked for the Admiralty and then Central Statistics Office, where under Lionel Robbins he worked on the Robbins Report. By 1971 he was deputy director of statistics for the Ministry of Labour, and wrote British Labour Statistics: Historical Abstract 1886–1968. He became director of the Department of Employment and Productivity, serving under leaders including William Whitelaw, 1st Viscount Whitelaw, Barbara Castle, Baroness Castle of Blackburn, and Michael Foot.

He became registrar general for England and Wales and the director of the Office of Population Censuses and Surveys in 1978. He worked on the 1981 census in the United Kingdom and reported directly to Prime Minister of the United Kingdom Margaret Thatcher, who had him remove three questions from the census to trim it down. He became interested in research into centenarians in this role, and found in 1981 that their numbers in the United Kingdom had increased significantly from prior 1971 data. He served as director at the Office of Population Censuses and Surveys until 1986.

Thatcher compiled research into population data and centenarians and contributed a significant body of scholarly work in addition to his government statistics duties. He predicted a good number of those born during the post–World War II baby boom would live beyond the age of 116. His work on the Kannisto-Thatcher Database on Old Age Mortality is held by the Max Planck Institute for Demographic Research and regarded as one of its most vital collections. The Journal of the Royal Statistical Society called him one of the "stalwarts" within the field of statistics. He died in 2010 at the age of 83, and remained active within his field of academia corresponding with other scholars until shortly before his death.

Statistician

A statistician is a person who works with theoretical or applied statistics. The profession exists in both the private and public sectors. It is common to combine statistical knowledge with expertise in other subjects, and statisticians may work as employees or as statistical consultants.

Statistics

Statistics is a branch of mathematics dealing with data collection, organization, analysis, interpretation and presentation. In applying statistics to, for example, a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model process to be studied. Populations can be diverse topics such as "all people living in a country" or "every atom composing a crystal". Statistics deals with all aspects of data including the planning of data collection in terms of the design of surveys and experiments.

See glossary of probability and statistics.

When census data cannot be collected, statisticians collect data by developing specific experiment designs and survey samples. Representative sampling assures that inferences and conclusions can reasonably extend from the sample to the population as a whole. An experimental study involves taking measurements of the system under study, manipulating the system, and then taking additional measurements using the same procedure to determine if the manipulation has modified the values of the measurements. In contrast, an observational study does not involve experimental manipulation.

Two main statistical methods are used in data analysis: descriptive statistics, which summarize data from a sample using indexes such as the mean or standard deviation, and inferential statistics, which draw conclusions from data that are subject to random variation (e.g., observational errors, sampling variation). Descriptive statistics are most often concerned with two sets of properties of a distribution (sample or population): central tendency (or location) seeks to characterize the distribution's central or typical value, while dispersion (or variability) characterizes the extent to which members of the distribution depart from its center and each other. Inferences on mathematical statistics are made under the framework of probability theory, which deals with the analysis of random phenomena.

A standard statistical procedure involves the test of the relationship between two statistical data sets, or a data set and synthetic data drawn from an idealized model. A hypothesis is proposed for the statistical relationship between the two data sets, and this is compared as an alternative to an idealized null hypothesis of no relationship between two data sets. Rejecting or disproving the null hypothesis is done using statistical tests that quantify the sense in which the null can be proven false, given the data that are used in the test. Working from a null hypothesis, two basic forms of error are recognized: Type I errors (null hypothesis is falsely rejected giving a "false positive") and Type II errors (null hypothesis fails to be rejected and an actual difference between populations is missed giving a "false negative"). Multiple problems have come to be associated with this framework: ranging from obtaining a sufficient sample size to specifying an adequate null hypothesis.Measurement processes that generate statistical data are also subject to error. Many of these errors are classified as random (noise) or systematic (bias), but other types of errors (e.g., blunder, such as when an analyst reports incorrect units) can also be important. The presence of missing data or censoring may result in biased estimates and specific techniques have been developed to address these problems.

Statistics can be said to have begun in ancient civilization, going back at least to the 5th century BC, but it was not until the 18th century that it started to draw more heavily from calculus and probability theory. In more recent years statistics has relied more on statistical software to produce tests such as descriptive analysis.

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