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Lynne Billard
Lynne Billard (born 1943) is an Australian statistician and professor at the University of Georgia, known for her statistics research, leadership, and advocacy for women in science. She has served as president of the American Statistical Association, and the International Biometric Society, one of a handful of people to have led both organizations. Education She earned her Bachelor of Science degree in 1966, and Doctoral degree in 1969, both from the University of New South Wales, Australia. * Mathematics Cadetship, University of New South Wales, 1962-1965. * Theory of Statistics II Prize, University of New South Wales, 1964. * Theory of Statistics III Prize, University of New South Wales, 1965. * General Proficiency in Statistics Prize, University of New South Wales, 1965. * First Class Honours in Statistics, University of New South Wales, 1966. Life and career In 1975, Billard joined Florida State University, USA as an Associate Professor and in 1980, she moved to the Univers ...
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Australia
Australia, officially the Commonwealth of Australia, is a Sovereign state, sovereign country comprising the mainland of the Australia (continent), Australian continent, the island of Tasmania, and numerous List of islands of Australia, smaller islands. With an area of , Australia is the largest country by area in Oceania and the world's List of countries and dependencies by area, sixth-largest country. Australia is the oldest, flattest, and driest inhabited continent, with the least fertile soils. It is a Megadiverse countries, megadiverse country, and its size gives it a wide variety of landscapes and climates, with Deserts of Australia, deserts in the centre, tropical Forests of Australia, rainforests in the north-east, and List of mountains in Australia, mountain ranges in the south-east. The ancestors of Aboriginal Australians began arriving from south east Asia approximately Early human migrations#Nearby Oceania, 65,000 years ago, during the Last Glacial Period, last i ...
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Acute Myocardial Infarction
A myocardial infarction (MI), commonly known as a heart attack, occurs when blood flow decreases or stops to the coronary artery of the heart, causing damage to the heart muscle. The most common symptom is chest pain or discomfort which may travel into the shoulder, arm, back, neck or jaw. Often it occurs in the center or left side of the chest and lasts for more than a few minutes. The discomfort may occasionally feel like heartburn. Other symptoms may include shortness of breath, nausea, feeling faint, a cold sweat or feeling tired. About 30% of people have atypical symptoms. Women more often present without chest pain and instead have neck pain, arm pain or feel tired. Among those over 75 years old, about 5% have had an MI with little or no history of symptoms. An MI may cause heart failure, an irregular heartbeat, cardiogenic shock or cardiac arrest. Most MIs occur due to coronary artery disease. Risk factors include high blood pressure, smoking, diabetes, lack of ...
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Fellow Of The American Statistical Association
Like many other academic professional societies, the American Statistical Association (ASA) uses the title of Fellow of the American Statistical Association as its highest honorary grade of membership. The number of new fellows per year is limited to one third of one percent of the membership of the ASA. , the people that have been named as Fellows are listed below. Fellows 1914 * John Lee Coulter * Miles Menander Dawson * Frank H. Dixon * David Parks Fackler * Henry Walcott Farnam * Charles Ferris Gettemy * Franklin Henry Giddings * Henry J. Harris * Edward M. Hartwell * Joseph A. Hill * George K. Holmes * William Chamberlin Hunt * John Koren * Thomas Bassett Macaulay * S. N. D. North * Warren M. Persons * Edward B. Phelps * LeGrand Powers * William Sidney Rossiter * Charles H. Verrill * Cressy L. Wilbur * S. Herbert Wolfe * Allyn Abbott Young 1916 * Victor S. Clark * Frederick Stephen Crum * Louis Israel Dublin * Walter Sherman Gifford * James Waterman Glover * Roy ...
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Committee Of Presidents Of Statistical Societies
The Committee of Presidents of Statistical Societies (COPSS) comprises the presidents, past presidents and presidents -elect of the following, primarily Northern American, professional societies of statisticians: * American Statistical Association * Institute of Mathematical Statistics * Eastern North American Region of the International Biometric Society * Western North American Region of the International Biometric Society * Statistical Society of Canada It also includes the president-elect-elect of Institute of Mathematical Statistics and the past-past-president of the Statistical Society of Canada. COPSS is responsible for granting the following awards: * The COPSS Presidents' Award for "an outstanding contribution to the profession of statistics" by a member of one of the constituent societies aged under 41 * The COPSS Distinguished Achievement Award and Lectureship for "achievement and scholarship in statistical science" that has made a "highly significant impact ... on scient ...
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Florence Nightingale David Award
The Florence Nightingale David Award is an award given every two years (in odd-numbered years) jointly by the Committee of Presidents of Statistical Societies and Caucus for Women in Statistics to a distinguished female statistician. Description The award's purpose is to "recognize a female statistician who exemplifies the contributions of Florence Nightingale David" and who "has advanced the discipline and proven herself to be an outstanding role model". Since the founding of the award, it has become a "prestigious hallmark of achievement" among female statisticians. Winners The Florence Nightingale David Award was first given in 2001, with David herself being given the award retroactively, dated to 1994. The winners of the award have been: References {{reflist, refs= {{citation, url=https://cwstat.org/awards/florence-nightingale-david-award/, title=Florence Nightingale David Award, publisher=Caucus for Women in Statistics, accessdate=2018-11-04 {{citation , last = Olkin , ...
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National Science Foundation
The National Science Foundation (NSF) is an independent agency of the United States government that supports fundamental research and education in all the non-medical fields of science and engineering. Its medical counterpart is the National Institutes of Health. With an annual budget of about $8.3 billion (fiscal year 2020), the NSF funds approximately 25% of all federally supported basic research conducted by the United States' colleges and universities. In some fields, such as mathematics, computer science, economics, and the social sciences, the NSF is the major source of federal backing. The NSF's director and deputy director are appointed by the President of the United States and confirmed by the United States Senate, whereas the 24 president-appointed members of the National Science Board (NSB) do not require Senate confirmation. The director and deputy director are responsible for administration, planning, budgeting and day-to-day operations of the foundation, while t ...
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List Of Presidents Of The American Statistical Association
The president of the American Statistical Association is the head of the American Statistical Association (ASA). According to the association's bylaws, the president is an officer, and a member of the board of directors and of the executive committee. Elections for the position are held annually, in which all full members are eligible to vote. The term in office is typically three years, as president-elect and past president are also official positions. List of presidents 19th century 20th century 21st century References External links Bylaws and constitutionASA Presidential Papers
{{DEFAULTSORT:Presidents of the American Statistical Association

Symbolic Data Analysis
Symbolic data analysis (SDA) is an extension of standard data analysis Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, enco ... where symbolic data tables are used as input and symbolic objects are made output as a result. The data units are called ''symbolic'' since they are more complex than standard ones, as they not only contain values or categories, but also include internal variation and structure. SDA is based on four spaces: the space of individuals, the space of concepts, the space of descriptions, and the space of symbolic objects. The space of descriptions models individuals, while the space of symbolic objects models concepts. References Further reading * External linksSymbolic Data Analysis: Conceptual Statistics and Data Mining
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Time Series Analysis
In mathematics, a time series is a series of data points indexed (or listed or graphed) in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time. Thus it is a sequence of discrete-time data. Examples of time series are heights of ocean tides, counts of sunspots, and the daily closing value of the Dow Jones Industrial Average. A time series is very frequently plotted via a run chart (which is a temporal line chart). Time series are used in statistics, signal processing, pattern recognition, econometrics, mathematical finance, weather forecasting, earthquake prediction, electroencephalography, control engineering, astronomy, communications engineering, and largely in any domain of applied science and engineering which involves temporal measurements. Time series ''analysis'' comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time series ''forecasting'' ...
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Estimation Theory
Estimation theory is a branch of statistics that deals with estimating the values of parameters based on measured empirical data that has a random component. The parameters describe an underlying physical setting in such a way that their value affects the distribution of the measured data. An ''estimator'' attempts to approximate the unknown parameters using the measurements. In estimation theory, two approaches are generally considered: * The probabilistic approach (described in this article) assumes that the measured data is random with probability distribution dependent on the parameters of interest * The set-membership approach assumes that the measured data vector belongs to a set which depends on the parameter vector. Examples For example, it is desired to estimate the proportion of a population of voters who will vote for a particular candidate. That proportion is the parameter sought; the estimate is based on a small random sample of voters. Alternatively, it ...
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Hypothesis Testing
A statistical hypothesis test is a method of statistical inference used to decide whether the data at hand sufficiently support a particular hypothesis. Hypothesis testing allows us to make probabilistic statements about population parameters. History Early use While hypothesis testing was popularized early in the 20th century, early forms were used in the 1700s. The first use is credited to John Arbuthnot (1710), followed by Pierre-Simon Laplace (1770s), in analyzing the human sex ratio at birth; see . Modern origins and early controversy Modern significance testing is largely the product of Karl Pearson ( ''p''-value, Pearson's chi-squared test), William Sealy Gosset ( Student's t-distribution), and Ronald Fisher ("null hypothesis", analysis of variance, "significance test"), while hypothesis testing was developed by Jerzy Neyman and Egon Pearson (son of Karl). Ronald Fisher began his life in statistics as a Bayesian (Zabell 1992), but Fisher soon grew disenchanted with t ...
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Sequential Analysis
In statistics, sequential analysis or sequential hypothesis testing is statistical analysis where the sample size is not fixed in advance. Instead data are evaluated as they are collected, and further sampling is stopped in accordance with a pre-defined stopping rule as soon as significant results are observed. Thus a conclusion may sometimes be reached at a much earlier stage than would be possible with more classical hypothesis testing or estimation, at consequently lower financial and/or human cost. History The method of sequential analysis is first attributed to Abraham Wald with Jacob Wolfowitz, W. Allen Wallis, and Milton Friedman while at Columbia University's Statistical Research Group as a tool for more efficient industrial quality control during World War II. Its value to the war effort was immediately recognised, and led to its receiving a "restricted" classification. At the same time, George Barnard led a group working on optimal stopping in Great Britain. Ano ...
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