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Jana Jurečková

Jana Jurečková 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 Jana Jurečková rather than just read about it. In short: Jana Jurečková (née Přistoupilová, born 20 September 1940) is a Czech statistician, known for her work on rankings, robust statistics, outliers and tails, asymptotic theory, and the behavior of statistical estimates for finite sample sizes. Education and career Jurečková was born in Prague and grew up in Roudnice nad Labem.

Key takeaways

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

Reference excerpt

Jana Jurečková (née Přistoupilová, born 20 September 1940) is a Czech statistician, known for her work on rankings, robust statistics, outliers and tails, asymptotic theory, and the behavior of statistical estimates for finite sample sizes.

Education and career Jurečková was born in Prague and grew up in Roudnice nad Labem. She earned a master's degree from Charles University, and completed her Ph.D. in 1967 from the Czechoslovak Academy of Sciences under the supervision of Jaroslav Hájek. She completed a habilitation in 1982 and a Dr.Sc. in 1984. She joined Charles University in 1964, becoming part of the Department of Probability and Mathematical Statistics in the Faculty of Mathematics and Physics, and has also been associated with the Jaroslav Hájek Center for Theoretical and Applied Statistics at Masaryk University.

Books She is the author of Robust Statistical Procedures: Asymptotics and Interrelations (with Pranab K. Sen, Wiley, 1996), of Adaptive Regression (with Yadolah Dodge, Springer, 2000), of Robust Statistical Methods with R (with Jan Picek, Chapman & Hall/CRC, 2005), and of a textbook on robust statistics in Czech.

Recognition She is a Fellow of the Institute of Mathematical Statistics an elected member of the International Statistical Institute, and since 2003 a member of the Learned Society of the Czech Republic.

References

External links Home page Archived 2018-07-11 at the Wayback Machine

Worked examples

Example 1 — a first encounter with Jana Jurečková

Start with the simplest possible case. Write down what Jana Jurečková 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 Jana Jurečková 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 Jana Jurečková 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 Jana Jurečková

In research
Jana Jurečková 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 Jana Jurečková 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
Jana Jurečková is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1940 births, Academic staff of Charles University, Charles University alumni, so understanding it makes those chapters shorter.
In everyday life
Look for Jana Jurečková 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 Jana Jurečková in 20 minutes

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

Frequently asked questions

What is Jana Jurečková in simple terms?

Jana Jurečková (née Přistoupilová, born 20 September 1940) is a Czech statistician, known for her work on rankings, robust statistics, outliers and tails, asymptotic theory, and the behavior of statistical estimates for finite sample sizes. Education and career Jurečková was born in Prague and grew…

Why does Jana Jurečková 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 Jana Jurečková?

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 Jana Jurečková.

Tags

  • 1940 births
  • Academic staff of Charles University
  • Charles University alumni
  • Czech statisticians
  • Elected Members of the International Statistical Institute
  • Fellows of the Institute of Mathematical Statistics
  • Living people
  • Mathematical statisticians
  • Mathematicians from Prague
  • People from Prague
  • Women statisticians

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