mathematics

Wayne Fuller

Wayne Fuller 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 Wayne Fuller rather than just read about it. In short: Wayne Arthur Fuller (born June 15, 1931) is an American statistician who has specialised in econometrics, survey sampling and time series analysis. He was on the staff of Iowa State University from 1959, becoming a distinguished professor in 1983.

Key takeaways

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

Reference excerpt

Wayne Arthur Fuller (born June 15, 1931) is an American statistician who has specialised in econometrics, survey sampling and time series analysis. He was on the staff of Iowa State University from 1959, becoming a distinguished professor in 1983. Fuller received his degrees from Iowa State University, with a B.S. in 1955, an M.S. in 1957 and a Ph.D. in agricultural economics in 1959. During his long career at Iowa State, he supervised 88 Ph.D. or M.S. dissertations. Fuller is a fellow of the American Statistical Association, the Econometric Society, the Institute of Mathematical Statistics, and the International Statistical Institute. Fuller also served as an editor of the American Journal of Agricultural Economics, Journal of the American Statistical Association, The American Statistician, Journal of Business and Economic Statistics, and Survey Methodology. He also served on numerous National Academy of Science panels and was a member of the Committee on National Statistics. Wayne Fuller received 2003 Marvin Zelen Leadership Award in Statistical Science. He also received the 2002 Waksberg Award from the journal Survey Methodology. In 2011 Fuller was recipient of the American Statistical Association's Founders Award. In 2009, he received an honorary doctorate from North Carolina State University. In 2011, he received an honorary doctorate from the University of Neuchâtel (Switzerland).

Important works Dickey, D. A.; Fuller, W. A. (1979). "Distribution of the Estimators for Autoregressive Time Series with a Unit Root". Journal of the American Statistical Association. 74 (366): 427–431. doi:10.2307/2286348. JSTOR 2286348. Fuller, W.A. (1987) Measurement Error Models, Wiley. ISBN 0-471-86187-1 Fuller, W.A. (1996) Introduction to Statistical Time Series, 2nd Edition, Wiley. ISBN 0-471-55239-9 Fuller, W.A. (2009) Sampling Statistics, Wiley. ISBN 0-470-45460-1

References

External links Wayne Fuller at the Mathematics Genealogy Project ISI Highly cited researchers Wayne Fuller's home-page at Iowa State University Archived 2003-04-16 at the Wayback Machine

Worked examples

Example 1 — a first encounter with Wayne Fuller

Start with the simplest possible case. Write down what Wayne Fuller 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 Wayne Fuller 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 Wayne Fuller 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 Wayne Fuller

In research: Wayne Fuller 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 Wayne Fuller 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: Wayne Fuller is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1931 births, American statistician stubs, American statisticians, so understanding it makes those chapters shorter.
In everyday life: Look for Wayne Fuller 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 “Wayne Fuller” →

Affiliate

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

How to study Wayne Fuller in 20 minutes

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

Frequently asked questions

What is Wayne Fuller in simple terms?

Why does Wayne Fuller 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 Wayne Fuller?

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 Wayne Fuller.