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Harald Cramér

Harald Cramér 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 Harald Cramér rather than just read about it. In short: Harald Cramér (Swedish: [kraˈmeːr]; 25 September 1893 – 5 October 1985) was a Swedish mathematician, actuary, and statistician, specializing in mathematical statistics and probabilistic number theory. John Kingman described him as "one of the giants of statistical theory".

Harald Cramér — main illustration
Harald Cramér — illustration

Key takeaways

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

Reference excerpt

Harald Cramér (Swedish: [kraˈmeːr]; 25 September 1893 – 5 October 1985) was a Swedish mathematician, actuary, and statistician, specializing in mathematical statistics and probabilistic number theory. John Kingman described him as "one of the giants of statistical theory".

Biography

Early life Harald Cramér was born in Stockholm, Sweden on 25 September 1893. Cramér remained close to Stockholm for most of his life. He entered the Stockholm University as an undergraduate in 1912, where he studied mathematics and chemistry. During this period, he was a research assistant under the famous chemist, Hans von Euler-Chelpin, with whom he published his first five articles from 1913 to 1914. Following his lab experience, he began to focus solely on mathematics. He eventually began his work on his doctoral studies in mathematics which were supervised by Marcel Riesz at the Stockholm University. Also influenced by G. H. Hardy, Cramér's research led to a PhD in 1917 for his thesis "On a class of Dirichlet series".

Academic professional career Following his PhD, he served as an Assistant Professor of Mathematics at Stockholm University from 1917 to 1929. Early on, Cramér was highly involved in analytic number theory. He also made some important statistical contributions to the distribution of primes and twin primes. His most famous paper on this subject is entitled "On the order of magnitude of the difference between consecutive prime numbers", which provided a rigorous account of the constructive role in which probability applied to number theory and included an estimate for prime gaps that became known as Cramér's conjecture. In the late 1920s, Cramér became interested in the field of probability, which at the time was not an accepted branch of mathematics. Cramér knew that a radical change was needed in this field, and in a paper in 1926 said, "The probability concept should be introduced by a purely mathematical definition, from which its fundamental properties and the classical theorems are deduced by purely mathematical operations." Cramér took an interest in the rigorous mathematical formulation of probability in the work of French and Russian mathematicians such as Kolmogorov, Lévy, Bernstein, and Khinchin in the early 1930s. Cramér also made significant development to the revolution in probability theory. Cramér later wrote his careful study of the field in his Cambridge publication Random variables and probability distributions which appeared in 1937 (with a 2nd edition in 1962 and a 3rd edition in 1970). Shortly after World War II, Cramér went on to publish the influential Mathematical Methods of Statistics in 1946. This text was one that "showed the way in which statistical practice depended on a body of rigorous mathematical analysis as well as Fisherian intuition." His 1955 book Elements of Probability Theory and Some of its Applications introduces probability theory at a more elementary level than Mathematical Methods of Statistics. In 1929, Cramér was appointed to a newly created chair in Stockholm University, becoming the first Swedish professor of Actuarial Mathematics and Mathematical Statistics. Cramér retained this position up until 1958. During his tenure at Stockholm University, Cramér was a PhD advisor for 10 students, most notably Herman Wold and Kai Lai Chung. In 1950 he was elected as a Fellow of the American Statistical Association. Starting in 1950, Cramér took on the additional responsibility of becoming the President of Stockholm University. In 1958, he was also appointed to be Chancellor of the entire Swedish university system. Cramér retired from the Swedish university system in 1961.

Actuarial career A large portion of Cramér's work concerned the field of actuarial science and insurance mathematics. During the period from 1920 to 1929, he was an actuary for the life insurance company Svenska livförsäkringsbolaget. His actuarial work during this time led him to study probability and statistics which became the main area of his research. In 1927 he published an elementary text in Swedish Probability theory and some of its applications. Following his work for Svenska livförsäkringsbolaget, he went on to work for Återförsäkringsaktiebolaget Sverige, a reinsurance company, up until 1948. He was also known for his pioneering efforts in insurance risk theory. After this period, he remained as a consultant actuary to Sverige from 1949 to 1961. Later in his life, he was elected to be the Honorary President of the Swedish Actuarial Society.

Later years Cramér remained an active contributor to his profession for an additional 20 years. Following his retirement in 1961, he became extremely active in research, which had been slowed due to his Chancellorship. From 1961 to 1983, Cramér traveled throughout the United States and Europe to continue his research, making significant stops at the University of California-Berkeley, Princeton University, and the Research Triangle Institute in North Carolina. Cramér received an Honorary Doctorate from Heriot-Watt University in 1972. His academic career spanned over seven decades, from 1913 to 1982.

Personal life

Harald Cramér married Marta Hansson in 1918, and they remained together up until her death in 1973. He had often referred to her as his "Beloved Marta". Together they had one daughter, Marie-Louise, and two sons, Tomas and Kim.

Notes

References Cramér, Harald (1936). "Über eine Eigenschaft der normalen Verteilungsfunktion". Mathematische Zeitschrift (in German). 41 (1): 405–414. doi:10.1007/BF01180430. S2CID 118420723. MR 1545629 Cramér, Harald (1938). "Sur un nouveau théorème-limite de la théorie des probabilités". Actualités Scientifiques et Industrielles (in French). 736: 5–23. Wegman, Edward (1986-11-01). "Some Personal Recollections of Harald Cramér on the Development of Statistics and Probability". Statistical Science. 1 (4): 528–535. doi:10.1214/ss/1177013531. JSTOR 2245807. Kingman, J. F. C. (1986). "Harald Cramér, 1893-1985". Journal of the Royal Statistical Society. 149 (2): 186. JSTOR 2981530. Blom, Gunnar (1987-12-01). "Harald Cramér, 1893-1985". The Annals of Statistics. 15 (4): 1335–1350. doi:10.1214/aos/1176350596. JSTOR 2241677. Kendall, David (1983). "A Tribute to Harald Cramér". Journal of the Royal Statistical Society, Series A. 146 (3): 211–212. JSTOR 2981652. Heyde, C.C.; Eugene Seneta (2001). Statisticians of the Centuries. New York, New York: Springer. pp. 439–443. ISBN 0-387-95283-7.

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Illustrations

Harald Cramér illustration
Harald Cramér: Marta Cramér
Marta Cramér

Worked examples

Example 1 — a first encounter with Harald Cramér

Start with the simplest possible case. Write down what Harald Cramér 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 Harald Cramér 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 Harald Cramér 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 Harald Cramér

In research
Harald Cramér 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 Harald Cramér 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
Harald Cramér is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1893 births, 1985 deaths, 20th-century Swedish statisticians, so understanding it makes those chapters shorter.
In everyday life
Look for Harald Cramér 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 Harald Cramér in 20 minutes

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

Frequently asked questions

What is Harald Cramér in simple terms?

Harald Cramér (Swedish: [kraˈmeːr]; 25 September 1893 – 5 October 1985) was a Swedish mathematician, actuary, and statistician, specializing in mathematical statistics and probabilistic number theory. John Kingman described him as "one of the giants of statistical theory".

Why does Harald Cramér 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 Harald Cramér?

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 Harald Cramér.

Tags

  • 1893 births
  • 1985 deaths
  • 20th-century Swedish statisticians
  • Fellows of the American Statistical Association
  • International members of the National Academy of Sciences
  • Mathematical statisticians
  • Members of the Royal Society of Sciences in Uppsala
  • Probability theorists
  • Scientists from Stockholm
  • Swedish actuaries

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