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Miriam Gasko Donoho

Miriam Gasko Donoho 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 Miriam Gasko Donoho rather than just read about it. In short: Miriam (Miki) Gasko Donoho (also published as Miriam Gasko-Green) is an American statistician whose research topics have included data visualization,[A] equivalences between binary regression and survival analysis,[B] and robust regression.[C] Education and career Gasko completed her Ph.D. in statistics at Harvard University in 1981. Her dissertation was Testing Sequentially Selected Outliers from Linear Models.

Key takeaways

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

Reference excerpt

Miriam (Miki) Gasko Donoho (also published as Miriam Gasko-Green) is an American statistician whose research topics have included data visualization,[A] equivalences between binary regression and survival analysis,[B] and robust regression.[C]

Education and career Gasko completed her Ph.D. in statistics at Harvard University in 1981. Her dissertation was Testing Sequentially Selected Outliers from Linear Models. She became a professor of marketing and quantitative studies in the College of Business at San Jose State University, director of the Silicon Valley Consumer Confidence Survey, and treasurer of the Institute of Mathematical Statistics.

Recognition She is a Fellow of the Institute of Mathematical Statistics. MacSpin, a program for three-dimensional data visualization that she developed with her husband David Donoho and brother-in-law Andrew Donoho, was named as the best scientific/engineering software of 1987 by MacUser magazine.

Selected publications

References

Worked examples

Example 1 — a first encounter with Miriam Gasko Donoho

Start with the simplest possible case. Write down what Miriam Gasko Donoho 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 Miriam Gasko Donoho 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 Miriam Gasko Donoho 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 Miriam Gasko Donoho

In research
Miriam Gasko Donoho 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 Miriam Gasko Donoho 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
Miriam Gasko Donoho is common in secondary-school and first-year university syllabi. It links to neighbouring topics 20th-century American statisticians, 20th-century American women, 21st-century American statisticians, so understanding it makes those chapters shorter.
In everyday life
Look for Miriam Gasko Donoho 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 Miriam Gasko Donoho in 20 minutes

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

Frequently asked questions

What is Miriam Gasko Donoho in simple terms?

Miriam (Miki) Gasko Donoho (also published as Miriam Gasko-Green) is an American statistician whose research topics have included data visualization,[A] equivalences between binary regression and survival analysis,[B] and robust regression.[C] Education and career Gasko completed her Ph.D. in stati…

Why does Miriam Gasko Donoho 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 Miriam Gasko Donoho?

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 Miriam Gasko Donoho.

Tags

  • 20th-century American statisticians
  • 20th-century American women
  • 21st-century American statisticians
  • 21st-century American women
  • American women statisticians
  • Fellows of the Institute of Mathematical Statistics
  • Harvard Graduate School of Arts and Sciences alumni
  • Living people
  • San Jose State University faculty

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