mathematics

Maurice Priestley

Maurice Priestley 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 Maurice Priestley rather than just read about it. In short: Maurice Bertram Priestley (15 March 1933 – 15 June 2013) was a professor of statistics in the School of Mathematics, University of Manchester, England. He gained his first degree at the University of Cambridge and went on to gain a Ph.D. from the University of Manchester.

Key takeaways

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

Reference excerpt

Maurice Bertram Priestley (15 March 1933 – 15 June 2013) was a professor of statistics in the School of Mathematics, University of Manchester, England. He gained his first degree at the University of Cambridge and went on to gain a Ph.D. from the University of Manchester. He was known especially for his work on time series analysis, especially spectral analysis and wavelet analysis. He was a longstanding editor of the Journal of Time Series Analysis, a special edition of which was published in his honour in 1993. Less well-known but equally important was his work with M.T. Chao on nonparametric function fitting.

Selected publications Priestley, M. B. (1971). "Time-dependent spectral analysis and its application in prediction and control". Journal of Sound and Vibration. 17 (4): 517–534. Bibcode:1971JSV....17..517P. doi:10.1016/0022-460X(71)90064-2. Priestley, M. B. (1980). "State-Dependent Models: A General Approach to Non-Linear Time Series Analysis". Journal of Time Series Analysis. 1: 47–71. doi:10.1111/j.1467-9892.1980.tb00300.x. Priestley, M. B. (1996). "Wavelets and Time-Dependent Spectral Analysis". Journal of Time Series Analysis. 17: 85–103. doi:10.1111/j.1467-9892.1996.tb00266.x. Chao, M. T.; Priestley, M. B. (1972). "Non-parametric function fitting". Journal of the Royal Statistical Society, Series B. 34 (3): 385–392. doi:10.1111/j.2517-6161.1972.tb00916.x.

References

External links Maurice Priestley at the Mathematics Genealogy Project

Worked examples

Example 1 — a first encounter with Maurice Priestley

Start with the simplest possible case. Write down what Maurice Priestley 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 Maurice Priestley 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 Maurice Priestley 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 Maurice Priestley

In research: Maurice Priestley 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 Maurice Priestley 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: Maurice Priestley is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1933 births, 2013 deaths, Academics of the University of Manchester, so understanding it makes those chapters shorter.
In everyday life: Look for Maurice Priestley 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 Maurice Priestley in 20 minutes

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

Frequently asked questions

What is Maurice Priestley in simple terms?

Why does Maurice Priestley 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 Maurice Priestley?

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 Maurice Priestley.