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Rosemary A. Bailey

Rosemary A. Bailey 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 Rosemary A. Bailey rather than just read about it. In short: Rosemary A. Bailey (born 1947) is a British statistician who works in the design of experiments and the analysis of variance and in related areas of combinatorial design, especially in association schemes.

Key takeaways

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

Reference excerpt

Rosemary A. Bailey (born 1947) is a British statistician who works in the design of experiments and the analysis of variance and in related areas of combinatorial design, especially in association schemes. She has written books on the design of experiments, on association schemes, and on linear models in statistics.

Education and career Bailey's first degree and D.Phil. were in mathematics at the University of Oxford. After her first degree, Bailey did a year of Voluntary Service Overseas, teaching Mathematics and French at a school in Ilorin, Nigeria. She was awarded her doctorate in 1974 for a dissertation on permutation groups, Finite Permutation Groups supervised by Graham Higman. Bailey's career has not been in pure mathematics but in statistics where she has specialised in the algebraic problems associated with the design of experiments. Bailey worked at The Open University before becoming a Post-Doctoral Fellow at the University of Edinburgh with Desmond Patterson. She spent 1981–91 in the Statistics Department of Rothamsted Experimental Station. In 1991 Bailey became Professor of Mathematical Sciences at Goldsmiths College in the University of London and then Professor of Statistics at Queen Mary, University of London where she is Professor Emerita of Statistics. After 12 years as Professor of Mathematics and Statistics in the School of Mathematics and Statistics at the University of St Andrews, Scotland, she is currently Professor Emeritus there.

Recognition Bailey is a Fellow of the Institute of Mathematical Statistics and in 2015 was elected a Fellow of the Royal Society of Edinburgh.

Selected publications Bailey, R. A. (2004). Association Schemes: Designed Experiments, Algebra and Combinatorics. Cambridge: Cambridge University Press. ISBN 978-0-521-82446-0. Bailey, R. A. (2008). Design of Comparative Experiments. Cambridge: Cambridge University Press. ISBN 978-0-521-68357-9. Speed, T. P.; Bailey, R. A. (1987). "Factorial Dispersion Models". International Statistical Review / Revue Internationale de Statistique. 55 (3). International Statistical Institute (ISI): 261–277. doi:10.2307/1403405. JSTOR 1403405. Bailey, R. A.; Cameron, Peter J.; Praeger, Cheryl E.; Schneider, Csaba (2022). "The geometry of diagonal groups". Transactions of the American Mathematical Society. 375. American Mathematical Society: 5259–5311. doi:10.1090/tran/8507.

References

External links Homepage of Professor Bailey at Queen Mary University of London Homepage of Professor Bailey at GitHub

Worked examples

Example 1 — a first encounter with Rosemary A. Bailey

Start with the simplest possible case. Write down what Rosemary A. Bailey 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 Rosemary A. Bailey 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 Rosemary A. Bailey 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 Rosemary A. Bailey

In research
Rosemary A. Bailey 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 Rosemary A. Bailey 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
Rosemary A. Bailey is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1947 births, 20th-century British statisticians, 20th-century British women mathematicians, so understanding it makes those chapters shorter.
In everyday life
Look for Rosemary A. Bailey 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 Rosemary A. Bailey in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Rosemary A. Bailey 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 Rosemary A. Bailey out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Rosemary A. Bailey in simple terms?

Rosemary A. Bailey (born 1947) is a British statistician who works in the design of experiments and the analysis of variance and in related areas of combinatorial design, especially in association schemes.

Why does Rosemary A. Bailey 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 Rosemary A. Bailey?

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 Rosemary A. Bailey.

Tags

  • 1947 births
  • 20th-century British statisticians
  • 20th-century British women mathematicians
  • 20th-century English mathematicians
  • 21st-century British statisticians
  • 21st-century British women mathematicians
  • 21st-century English mathematicians
  • Academics of Queen Mary University of London
  • Academics of the University of St Andrews
  • Algebraists
  • Alumni of St Hugh's College, Oxford
  • British women statisticians

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