astronomy

Peter A. Lachenbruch

Peter A. Lachenbruch is a astronomy 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 Peter A. Lachenbruch rather than just read about it. In short: Peter Anthony Lachenbruch (1937 – July 29, 2021) was an American statistician. He was professor emeritus at Oregon State University.

Key takeaways

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

Reference excerpt

Peter Anthony Lachenbruch (1937 – July 29, 2021) was an American statistician. He was professor emeritus at Oregon State University. He had previously worked at the Center for Biologics Evaluation and Research (CBER) at the Food and Drug Administration (FDA) where he was director of the division of biostatistics. He was a fellow and former president of the American Statistical Association (ASA).

Education Lachenbruch earned his BA in mathematics from the University of California, Los Angeles (UCLA) (1958) and his MS in mathematics from Lehigh University (1961). He earned his PhD from UCLA in 1965. He wrote his thesis, Estimation of Error Rates in Discriminant Analysis under the tutelage of M. Ray Mickey.

Career After completing his PhD, Lachenbruch held a number of academic positions at the University of North Carolina (1965 to 1976), University of Iowa (1976 to 1985) and UCLA (1985 to 1994). He was chair of biostatistics in the school of public health at UCLA. In 1994 Lachenbruch joined CBER where he was Chief, Biostatistics, Division of Biostatistics and Epidemiology from 1994 to 1999 and then Director, Division of Biostatistics (1999 to 2006). After his career at the FDA, Lachenbruch joined the Department of Public Health, Oregon State University in 2006, where he stayed until his retirement. During his career, he wrote a text on discriminant analysis and published over 200 refereed articles. In addition to his academic and government appointments, Lachenbruch was president of the Eastern North American Region (ENAR) of the International Biometric Society (1984), of the American Statistical Association (2008) and of the Western North American Region (WNAR) of the International Biometrics Society (2010).

Honors and awards In 1971, Lachenbruch was awarded the Mortimer Spiegelman Award by the American Public Health Association He was elected a fellow of the American Statistical Association in 1979 and was an elected member of the International Statistical Institute.

Selected publications

Books Lachenbruch, Peter A. (1975). Discriminant Analysis. New York, NY: Hafner Press. ISBN 978-0-02-848250-7.

Journal articles Lachenbruch, Tony (2005). "Memories of Stata". The Stata Journal: Promoting Communications on Statistics and Stata. 5: 38. doi:10.1177/1536867X0500500106.

References

Further reading "Curriculum Vitae: Peter A. Lachenbruch" (PDF). September 2, 2010.

Worked examples

Example 1 — a first encounter with Peter A. Lachenbruch

Start with the simplest possible case. Write down what Peter A. Lachenbruch claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, 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 Peter A. Lachenbruch 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 Peter A. Lachenbruch 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 Peter A. Lachenbruch

In research: Peter A. Lachenbruch appears in astronomy 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 Peter A. Lachenbruch 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: Peter A. Lachenbruch is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1937 births, 2021 deaths, American statisticians, so understanding it makes those chapters shorter.
In everyday life: Look for Peter A. Lachenbruch 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.

Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “Peter A. Lachenbruch” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Peter A. Lachenbruch in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Peter A. Lachenbruch means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Peter A. Lachenbruch out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Peter A. Lachenbruch in simple terms?

Peter Anthony Lachenbruch (1937 – July 29, 2021) was an American statistician. He was professor emeritus at Oregon State University.

Why does Peter A. Lachenbruch matter?

Because it connects several astronomy 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 Peter A. Lachenbruch?

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 Peter A. Lachenbruch.