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Lynne Billard

Lynne Billard is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Lynne Billard rather than just read about it. In short: 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.

Key takeaways

  • Lynne Billard belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Lynne Billard to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Lynne Billard from memory before moving on to harder problems.

Reference excerpt

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 University of Georgia as head of the Department of Statistics and Computer Science. In 1984, when the departments split, she became the first Head of the Department of Statistics at UGA. From 1989 - 1991, she served as an Associate Dean at the University of Georgia, in 1992 she was named a University Professor. Among her other appointments are the following:

Teaching Fellow and Tutor, University of New South Wales, 1/1966-12/1968. Lecturer, University of Birmingham, U. K., 1/1969-12/1970. Visiting Assistant Professor, SUNY at Buffalo, 1/1971-8/1971. Assistant Professor, University of Waterloo, Canada, 9/1971-12/1974. Visiting Assistant Professor, Stanford University, 1/1974-8/1974. Visiting Associate Professor, SUNY at Buffalo, 9/1974-6/1975. Visiting Associate Professor, Stanford University, 6/1974-8/1974. Associate Professor, Florida State University, 7/1975-8/1980. Associate Head, Florida State University, 7/1976-6/1978. Research Fellow, Naval Postgraduate School, 8/1979-9/1979. Research Fellow, University of California, Berkeley, 9/1979-12/1979. Professor, Florida State University, 1980-1981, on leave (at University of Georgia). Professor of Statistics and Head, Department of Computer Science and Statistics, University of Georgia, 9/1980-8/1984. Professor and Head, Statistics, University of Georgia, 9/1984-3/1989. Imperial College, London (on leave), 9/1986-12/1986. Professor and Associate Dean, University of Georgia, 4/1989-8/1991. Professor, University of Georgia, 9/1991-6/1992. University Professor, University of Georgia, 7/1992–present. Adjunct Professor, Australian National University, 7/1997–present. Honorary Professorial Fellow, University of Melbourne, 9/2009–present.

Research Lynne Billard has worked to involve statisticians in solving current and applied problems. Her work on the incubation period of AIDS greatly impacted public health education. Overall, her research spans a mix of theoretical and applied work. Most mathematical/theoretical work was motivated by real life applied questions primarily from the biological sciences (broadly defined), including scientific collaboration with substantive field researchers. The emphasis has changed over the years, with frequent returns to former areas. For example, early work focused on epidemic processes. Currently, a large manuscript (44 pages) on the impact of HIV-AIDS on health-care and insurance premiums has been submitted for publication. Also, currently, an analysis of survival rates using a cardiology dataset (with large n and large p) is being finalized; this analysis develops and then applies symbolic classification methods for interval and modal data formats for acute myocardial infarction and compares the results with those from classical CART and ecological CART analyses.

Epidemic theory including AIDS research. Stochastic processes, with emphasis on model building Sequential analysis, with emphasis on hypothesis testing. Statistical inference, with emphasis on estimation theory. Time series analysis. Symbolic data analysis.

Books Computer Science and Statistics: Proceedings of the Sixteenth Symposium on the Interface (editor). 1985. North Holland Publishers. AIDS Sexual Behavior and Intravenous Drug Use (with Co-National Research Council Panel Members). 1989. National Academy Press. Improving Information for Social Policy Decisions: The Uses of Microsimulation Modeling, Volume I (with Co-National Research Council Panel Members). 1991. National Academy Press. Improving Information for Social Policy Decisions: The Uses of Microsimulation Modeling, Volume II (with Co-National Research Council Panel Members). 1991. National Academy Press. Exploring the Limits of Bootstrap (ed., with R. LePage). 1992. John Wiley. Case Studies in Biometry (eds. N. Lange, L. Ryan, L. Billard, D. Brillinger, L. Conquest and J. Greenhouse). 1994. John Wiley. Computer Science and Statistics: Proceedings of the Twenty-Eighth Symposium on the Interface (ed. with N. Fisher). 1997. Interface Foundation Publisher. Lynne Billard, Edwin Diday, "Symbolic Data Analysis: Conceptual Statistics and Data Mining," Volume 654 of Wiley Series in Computational Statistics, John Wiley & Sons, 2012.

Awards and honors She served as president of the two largest statistical societies in the world: the International Biometric Society (1994 - 1995) and the American Statistical Association (1995 - 1996). She is only the third person to have been president of both organizations. She also served as principal investigator for "Pathways to the Future," an annual National Science Foundation workshop which ran from 1988 to 2004 and focused on mentoring women who had recently received PhDs in Statistics, and were primarily entering academic positions. In 2011, she received the tenth annual Janet L. Norwood Award for Outstanding Achievement by a Woman in the Statistical Sciences. In 2013, she was awarded the Florence Nightingale David Award by the Committee of Presidents of Statistical Societies, which is given biannually recognizes a female statistician for exemplary contributions to education, science and public service. Here is a list of her notable awards.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Lynne Billard

Start with the simplest possible case. Write down what Lynne Billard claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Lynne Billard before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Lynne Billard ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Lynne Billard

In research
Lynne Billard appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Lynne Billard in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Lynne Billard is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1943 births, 20th-century Australian statisticians, 21st-century Australian statisticians, so understanding it makes those chapters shorter.
In everyday life
Look for Lynne Billard outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Lynne Billard in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Lynne Billard means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Lynne Billard out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Lynne Billard in simple terms?

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…

Why does Lynne Billard matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Lynne Billard?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Lynne Billard.

Tags

  • 1943 births
  • 20th-century Australian statisticians
  • 21st-century Australian statisticians
  • American women statisticians
  • Australian expatriates in the United States
  • Australian women statisticians
  • Elected Members of the International Statistical Institute
  • Fellows of the American Statistical Association
  • Fellows of the Institute of Mathematical Statistics
  • Graduate Women in Science members
  • Living people
  • Presidents of the American Statistical Association

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