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Miklós Csörgő

Miklós Csörgő 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 Miklós Csörgő rather than just read about it. In short: Miklós Csörgő (born 12 March 1932 in Egerfarmos) is a Hungarian probabilist and statistician known for his contributions to the theory of empirical processes and several other fields. Education and career Csörgő obtained a Bachelor's degree in economics in Budapest in 1955.

Key takeaways

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

Reference excerpt

Miklós Csörgő (born 12 March 1932 in Egerfarmos) is a Hungarian probabilist and statistician known for his contributions to the theory of empirical processes and several other fields.

Education and career Csörgő obtained a Bachelor's degree in economics in Budapest in 1955. He arrived in Canada in January 1957 as a refugee of the suppressed Hungarian Revolution. After a variety of odd jobs, in 1959 he enrolled at McGill University in Montreal where he earned M.A. and Ph.D. degrees in 1961 and 1963 respectively. After graduating, he held positions as postdoctoral fellow and lecturer at Princeton University for two years. In 1965 he returned to McGill University to take up a position as assistant professor; he was promoted to associate professor there in 1968. In 1972, he moved to Carleton University in Ottawa as a professor of mathematics and statistics, where he became Distinguished Research Professor after his retirement. One of his students was his brother, Sándor Csörgő, who was fifteen years his junior.

Books Csörgő, M.; Horváth, L. (1997). Limit Theorems in Change-point Analysis. Chichester: Wiley. ISBN 978-0471955221. Csörgő, M.; Horváth, L. (1993). Weighted Approximations in Probability and Statistics. Chichester: Wiley. ISBN 978-0471936350. Csörgő, M.; Csörgő, S.; Horváth, L. (1986). An Asymptotic Theory for Empirical Reliability and Concentration Processes. Springer Lectures Notes in Statistics. Vol. 33. Berlin, Heidelberg: Springer. ISBN 978-0387963594. Csörgő, M. (1983). Quantile Processes with Statistical Applications. CBMS-NSF Regional Conference Series in Applied Mathematics. Vol. 42. Philadelphia: SIAM. ISBN 978-0898711851. Csörgő, M.; Révész, P. (1981). Strong Approximations in Probability and Statistics. New York: Academic Press. ISBN 978-0-12-198540-0.

References

Worked examples

Example 1 — a first encounter with Miklós Csörgő

Start with the simplest possible case. Write down what Miklós Csörgő 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 Miklós Csörgő 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 Miklós Csörgő 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 Miklós Csörgő

In research
Miklós Csörgő 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 Miklós Csörgő 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
Miklós Csörgő is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1932 births, Academic staff of Carleton University, Academic staff of McGill University, so understanding it makes those chapters shorter.
In everyday life
Look for Miklós Csörgő 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 Miklós Csörgő in 20 minutes

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

Frequently asked questions

What is Miklós Csörgő in simple terms?

Miklós Csörgő (born 12 March 1932 in Egerfarmos) is a Hungarian probabilist and statistician known for his contributions to the theory of empirical processes and several other fields. Education and career Csörgő obtained a Bachelor's degree in economics in Budapest in 1955.

Why does Miklós Csörgő 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 Miklós Csörgő?

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 Miklós Csörgő.

Tags

  • 1932 births
  • Academic staff of Carleton University
  • Academic staff of McGill University
  • Hungarian economists
  • Hungarian emigrants to Canada
  • Hungarian mathematicians
  • Hungarian statisticians
  • Living people
  • McGill Faculty of Science alumni
  • Princeton University faculty
  • Probability theorists

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