mathematics

Kerrie Mengersen

Kerrie Mengersen 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 Kerrie Mengersen rather than just read about it. In short: Kerrie Mengersen (born 1962) is an Australian statistician. She is a Professor of Statistics at Queensland University of Technology, and 2024 winner of the Ruby Payne-Scott Medal and Lecture from the Australian Academy of Science.

Key takeaways

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

Reference excerpt

Kerrie Mengersen (born 1962) is an Australian statistician. She is a Professor of Statistics at Queensland University of Technology, and 2024 winner of the Ruby Payne-Scott Medal and Lecture from the Australian Academy of Science.

Education and career Mengersen earned BA (Hons I) and PhD degrees in mathematics, majoring in Statistics and Computing, from the University of New England (Armidale, New South Wales, Australia) in 1985 and 1989, respectively. She is the Director of the Bayesian Research and Applications Group (BRAG) within QUT's School of Mathematical Sciences, a member of the university's Centre for Data Science, and was Deputy Director of the former Australian Research Council (ARC) Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS) of Big Data, Big Models, New Insights. She has co-authored three books and edited two, and has written 27 book chapters and approximately 250 journal articles. Her research covers a broad spectrum of statistical practice, from theory to its applications. She is primarily known for her work in Bayesian statistics and meta-analysis, and has worked in applications of statistics in medicine and environmental science. In 2016, she was the first woman to be awarded the Statistical Society of Australia's Pitman Medal, which recognises outstanding achievement in the statistics discipline. She talks about new challenges for statisticians in a YouTube video. She has contributed to Australian biosecurity efforts. In October 2015, her research in building virtual habitats was highlighted on the ABC. Mengersen was the National President of the Statistical Society of Australia (SSAI) in 2013, and was the International President of the International Society for Bayesian Analysis (ISBA) in 2016. As of 2022, she is a member of the Academy Council of the Queensland Academy of Arts and Sciences.

Publications

Honours and awards 2014 Elected Fellow of the International Society for Bayesian Analysis Elected Fellow of the Institute of Mathematical Statistics Elected Fellow of the Society for Modelling and Simulation 2015 Biennial Medalist of the Modelling and Simulation Society of Australia and New Zealand (MSSANZ) 2015 Australian Research Council Laureate Fellowship 2016 Statistical Society of Australia Pitman Medal 2018 Elected Fellow of the Australian Academy of Science (FAA) 2018 Elected Fellow of the Academy of the Social Sciences in Australia (FASSA) 2024 Ruby Payne-Scott Medal and Lecture from the Australian Academy of Science

References

External links Mengersen, Kerrie (1988). Comparison and Selection of Populations with Special Reference to the Normal Distribution. Doctoral thesis. University of New England. hdl:1959.11/16789. Kerrie Mengersen Deputy director Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers QUT: Distinguished Professor Kerrie Mengersen Google Scholar: Kerrie Mengersen

Illustrations

Worked examples

Example 1 — a first encounter with Kerrie Mengersen

Start with the simplest possible case. Write down what Kerrie Mengersen 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 Kerrie Mengersen 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 Kerrie Mengersen 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 Kerrie Mengersen

In research: Kerrie Mengersen 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 Kerrie Mengersen 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: Kerrie Mengersen is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1962 births, 20th-century Australian mathematicians, 20th-century Australian statisticians, so understanding it makes those chapters shorter.
In everyday life: Look for Kerrie Mengersen 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.

Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “Kerrie Mengersen” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Kerrie Mengersen in 20 minutes

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

Frequently asked questions

What is Kerrie Mengersen in simple terms?

Why does Kerrie Mengersen 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 Kerrie Mengersen?

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 Kerrie Mengersen.