astronomy

Matthias Schonlau

Matthias Schonlau is a astronomy 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 Matthias Schonlau rather than just read about it. In short: Matthias Schonlau (born 9 November 1967) is a German Professor of statistics and actuarial science at the University of Waterloo. Early life and career Matthias Schonlau was born in Höxter, Germany.

Key takeaways

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

Reference excerpt

Matthias Schonlau (born 9 November 1967) is a German Professor of statistics and actuarial science at the University of Waterloo.

Early life and career Matthias Schonlau was born in Höxter, Germany. He attended University of Ulm for an undergrad degree but never obtained it because he became enrolled into a master's program at the Queen's University from which he graduated in 1993. In 1997 Matthias got his Ph.D. from the University of Waterloo. From 1997 to 1999 he was a researcher for the National Institute of Statistical Sciences under mentorship of Alan Karr and during the same time worked as a security hacker at the AT&T Labs. From 1999 to 2011 he worked as survey methodologist for RAND Corporation under mentorship of Sally Morton at its Santa Monica headquarters and eventually moved to their Pittsburgh office. From 2009 to 2010 he attended a sabbatical at the German Institute for Economic Research which was hosted in cooperation with the Max Planck Institute for Human Development and from 2015 to 2016 he was a visiting scholar at the University of Auckland. From 2015 to 2018 he was a member of the European Survey Research Association and in the end of 2018 became the president of the survey methods section of the Statistical Society of Canada. He is also an associate editor of the Survey Research Methods.

Recognition Schonlau is an NISS Distinguished Alumni Award recipient. He was elected as a Fellow of the American Statistical Association in 2020. In 2022 he was the recipient of a Humboldt Prize.

Personal life Matthias Schonlau is married to Dr. Karla Kaphengst, a physician from the University Health and Counselling Centre. They have two children.

References

External links Matthias Schonlau publications indexed by Google Scholar Official website

Worked examples

Example 1 — a first encounter with Matthias Schonlau

Start with the simplest possible case. Write down what Matthias Schonlau claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, 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 Matthias Schonlau 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 Matthias Schonlau 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 Matthias Schonlau

In research: Matthias Schonlau appears in astronomy 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 Matthias Schonlau 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: Matthias Schonlau is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1967 births, Academic staff of the University of Auckland, Academic staff of the University of Waterloo, so understanding it makes those chapters shorter.
In everyday life: Look for Matthias Schonlau 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 Matthias Schonlau in 20 minutes

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

Frequently asked questions

What is Matthias Schonlau in simple terms?

Matthias Schonlau (born 9 November 1967) is a German Professor of statistics and actuarial science at the University of Waterloo. Early life and career Matthias Schonlau was born in Höxter, Germany.

Why does Matthias Schonlau matter?

Because it connects several astronomy 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 Matthias Schonlau?

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 Matthias Schonlau.