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Kimiko O. Bowman

Kimiko O. Bowman 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 Kimiko O. Bowman rather than just read about it. In short: Kimiko Osada Bowman (August 15, 1927 – 13 January 2019) was a Japanese-American statistician known for her work on approximating the probability distribution of maximum likelihood estimators and for her advocacy for people with disabilities. Life Kimiko Osada was born in Japan in 1927 before emigrating to the United States in 1951.

Kimiko O. Bowman — main illustration
Kimiko O. Bowman — illustration

Key takeaways

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

Reference excerpt

Kimiko Osada Bowman (August 15, 1927 – 13 January 2019) was a Japanese-American statistician known for her work on approximating the probability distribution of maximum likelihood estimators and for her advocacy for people with disabilities.

Life Kimiko Osada was born in Japan in 1927 before emigrating to the United States in 1951. She became a U.S. citizen in 1958. She contracted polio while young, and became paralyzed from the neck down, but learned to walk again through years of physical therapy. She began her undergraduate studies in home economics at Radford College, but was persuaded by the college president to become a scientist. She studied both mathematics and chemistry and completed a B.S.Ed. in mathematics in 1960. She earned a Ph.D. in mathematical statistics from Virginia Tech in 1963; her dissertation, advised by Leonard Shenton, was Moments to Higher Orders for Maximum Likelihood Estimates with an Application to the Negative Binomial Distribution. As a senior research scientist at the Oak Ridge National Laboratory, Bowman worked on the distributional properties of estimators based on non-normal data. Bowman also frequently visited Japan in association with the U.S. Office of Naval Research. After 45 years of service, she retired in 1994. Bowman served on the National Science Foundation Equal Opportunities for Science and Engineering advisory committee, and chaired the NSF Committee on People with Disabilities. She also chaired the Statistical Tracking of Employment of People with Disabilities Task Force for the President’s Committee on Employment of People with Disabilities.

Awards and honors Bowman became a Fellow of the American Statistical Association in 1976. She was also a fellow of the American Association for the Advancement of Science and the Institute of Mathematical Statistics, and an elected member of the International Statistical Institute. In 1987, she was given an honorary doctorate by the University of Tokyo, becoming the first foreigner to be so honored.

References

Illustrations

Kimiko O. Bowman illustration

Worked examples

Example 1 — a first encounter with Kimiko O. Bowman

Start with the simplest possible case. Write down what Kimiko O. Bowman 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 Kimiko O. Bowman 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 Kimiko O. Bowman 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 Kimiko O. Bowman

In research
Kimiko O. Bowman 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 Kimiko O. Bowman 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
Kimiko O. Bowman is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1927 births, 2019 deaths, American people of Japanese descent, so understanding it makes those chapters shorter.
In everyday life
Look for Kimiko O. Bowman 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 Kimiko O. Bowman in 20 minutes

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

Frequently asked questions

What is Kimiko O. Bowman in simple terms?

Kimiko Osada Bowman (August 15, 1927 – 13 January 2019) was a Japanese-American statistician known for her work on approximating the probability distribution of maximum likelihood estimators and for her advocacy for people with disabilities. Life Kimiko Osada was born in Japan in 1927 before emigra…

Why does Kimiko O. Bowman 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 Kimiko O. Bowman?

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 Kimiko O. Bowman.

Tags

  • 1927 births
  • 2019 deaths
  • American people of Japanese descent
  • American statisticians
  • American women statisticians
  • Elected Members of the International Statistical Institute
  • Fellows of the American Association for the Advancement of Science
  • Fellows of the American Statistical Association
  • Fellows of the Institute of Mathematical Statistics
  • Japanese emigrants to the United States
  • Japanese statisticians
  • People with tetraplegia

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