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Wassily Hoeffding

Wassily Hoeffding 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 Wassily Hoeffding rather than just read about it. In short: Wassily Hoeffding (June 12, 1914 – February 28, 1991) was a Finnish-born American statistician and probabilist. Hoeffding was one of the founders of nonparametric statistics, in which Hoeffding contributed the idea and basic results on U-statistics.

Key takeaways

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

Reference excerpt

Wassily Hoeffding (June 12, 1914 – February 28, 1991) was a Finnish-born American statistician and probabilist. Hoeffding was one of the founders of nonparametric statistics, in which Hoeffding contributed the idea and basic results on U-statistics. In probability theory, Hoeffding's inequality provides an upper bound on the probability for the sum of random variables to deviate from its expected value.

Personal life Hoeffding was born in Mustamäki, Grand Duchy of Finland, although his place of birth is registered as St. Petersburg on his birth certificate. His father was an economist and a disciple of Peter Struve, the Russian social scientist and public figure. His paternal grandparents were Danish and his father's uncle was the Danish philosopher Harald Høffding. His mother, née Wedensky, had studied medicine. Both grandfathers had been engineers. In 1918 the family left Tsarskoye Selo for Ukraine and, after traveling through scenes of civil war, finally left Russia for Denmark in 1920, where Wassily entered school. In 1924 the family settled in Berlin. Hoeffding obtained his PhD in 1940 at the University of Berlin. He migrated with his mother to the United States in 1946. His younger brother, Oleg, became a military historian in the United States.

Hoeffding's ashes were buried in a small cemetery on land owned by George E. Nicholson, Jr.'s family in Chatham County, NC about 11 miles south of Chapel Hill, NC.

Work In 1948, Hoeffding introduced the concept of U-statistics. In 1951, he spent time on the central limit theorem under nonstandard conditions and later proved a combinatorial central limit theorem: If (R1, … , Rn) is a random permutation of the numbers 1, 2, … , n that assumes every permutation with the same probability 1/n!, then T n = Σ j b ( j , R j ) {\displaystyle T_{n}=\Sigma _{j}b(j,R_{j})} is asymptotically normal as n → ∞ under simple conditions that were later proved to be minimal. This result has turned out to be the workhorse of the asymptotic theory of rank tests that often have statistics according to the aforementioned equation or that can be approximated by such statistics. Further details on Hoeffding's work are available in The Collected Works of Wassily Hoeffding.

Writings Masstabinvariante Korrelationstheorie, 1940 On the distribution of the rank correlation coefficient t when the variates are not independent in Biometrika, 1947 A class of statistics with asymptotically normal distribution, 1948 A nonparametric test for independence, 1948 The central limit theorem for dependent random variables (with Herbert Robbins), 1948 "Optimum" nonparametric tests, 1951 A combinatorial central limit theorem, 1951 The large-sample power of test based on permutations of observations, 1952 On the distribution of the expected values of the order statistics, 1953 The efficiency of tests (with J. R. Rosenblatt), 1955 On the distribution of the number of successes in independent trials, 1956 Distinguishability of sets of distributions. (The case of independent and identically distributed random variables.), (with Jacob Wolfowitz), 1958 Lower bounds for the expected sample size and the average risk of a sequential procedure, 1960 Probability inequalities for sums of bounded random variables, 1963

See also Hoeffding's independence test Hoeffding's inequality Hoeffding's lemma

References

External links Wassily Hoeffding at the Mathematics Genealogy Project

Worked examples

Example 1 — a first encounter with Wassily Hoeffding

Start with the simplest possible case. Write down what Wassily Hoeffding 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 Wassily Hoeffding 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 Wassily Hoeffding 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 Wassily Hoeffding

In research
Wassily Hoeffding 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 Wassily Hoeffding 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
Wassily Hoeffding is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1914 births, 1991 deaths, 20th-century American statisticians, so understanding it makes those chapters shorter.
In everyday life
Look for Wassily Hoeffding 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 Wassily Hoeffding in 20 minutes

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

Frequently asked questions

What is Wassily Hoeffding in simple terms?

Wassily Hoeffding (June 12, 1914 – February 28, 1991) was a Finnish-born American statistician and probabilist. Hoeffding was one of the founders of nonparametric statistics, in which Hoeffding contributed the idea and basic results on U-statistics.

Why does Wassily Hoeffding 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 Wassily Hoeffding?

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 Wassily Hoeffding.

Tags

  • 1914 births
  • 1991 deaths
  • 20th-century American statisticians
  • American mathematical statisticians
  • American people of Danish descent
  • American probability theorists
  • Fellows of the American Statistical Association
  • Finnish emigrants to Germany
  • Finnish emigrants to the United States
  • Finnish statisticians
  • Humboldt University of Berlin alumni
  • People from Viipuri Province (Grand Duchy of Finland)

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