mathematics

Robert Wedderburn (statistician)

Robert Wedderburn (statistician) 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 Robert Wedderburn (statistician) rather than just read about it. In short: Robert William Maclagan Wedderburn (1947– June 1975) was a Scottish statistician who worked at the Rothamsted Experimental Station. He was co-developer, with John Nelder, of the generalized linear model methodology, and then expanded this subject to develop the idea of quasi-likelihood.

Key takeaways

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

Reference excerpt

Robert William Maclagan Wedderburn (1947– June 1975) was a Scottish statistician who worked at the Rothamsted Experimental Station. He was co-developer, with John Nelder, of the generalized linear model methodology, and then expanded this subject to develop the idea of quasi-likelihood. Wedderburn was born in Edinburgh, where he attended Fettes College, then studied for a degree and a diploma in statistics at the University of Cambridge. He died aged 28 of anaphylactic shock from an insect bite while on a canal holiday. "His colleagues remember him as someone of engaging diffidence, who would nonetheless hold his own in argument when he was sure he was right (as he usually was)," wrote John Nelder in Wedderburn's obituary.

Works Wedderburn published a number of papers.

Comparison of 3 measures of species-diversity. R. A. Kempton and R. W. M. Wedderburn 1978. Biometrics. 34 (1), pp. 25-37. Breed and sex-differences in age of appearance of bovine central incisor teeth. A. H. Andrews and R. W. M. Wedderburn 1977. British Veterinary Journal. 133 (6), pp. 543-547. Existence and uniqueness of maximum likelihood estimates for certain generalized linear-models. R. W. M. Wedderburn 1976. Biometrika. 63 (1), pp. 27-32. The effects of biocidal treatments on metabolism in soil .3. The relationship between soil biovolume, measured by optical microscopy, and the flush of decomposition caused by fumigation. D. S. Jenkinson, D. S. Powlson and R. W. M. Wedderburn 1976. Soil Biology and Biochemistry. 8 (3), pp. 189-202. The Woburn Market Garden experiment 1942-1969 I. A history of the experiment, details of the treatments and yields of the crops. A. E. Johnston and R. W. M. Wedderburn 1975. Rothamsted Experimental Station Report. 2, pp. 79-101. Langmuir two-surface equation as a model for phosphate adsorption by soils. I. C. R. Holford, R. W. M. Wedderburn and G. E. G. Mattingly 1974. Journal of Soil Science. 25 (2), pp. 242-255. Generalized linear-models specified in terms of constraints. R. W. M. Wedderburn 1974. Journal of the Royal Statistical Society, Series B (Statistical Methodology). 36 (3), pp. 449-454. Quasi-likelihood functions, generalized linear models, and the Gauss-Newton method. R. W. M. Wedderburn 1974. Biometrika. 61 (3), pp. 439-447. Relationship of age to first molar tooth development in a group of cross-bred steers. A. H. Andrews and R. W. M. Wedderburn 1973. British Veterinary Journal. 129 (6), pp. 512-517. A method for predicting proportions of affected herds from proportions of affected animals. F. B. Leech and R. W. M. Wedderburn 1972. Epidemiology & Infection. 70 (3), pp. 409-414. Generalized linear models J. A. Nelder and R. W. M. Wedderburn 1972. Journal of the Royal Statistical Society, Series A (Statistics in Society). 135 (3), pp. 370-384. Genstat: a general statistics program. N. G. Alvey, J. C. Gower, F. B. Lauckner, P. K. Leech, J. A. Nelder, C. E. Rogers, G. J. S. Ross, H. R. Simpson, R. W. M. Wedderburn and G. N. Wilkinson 1970. Rothamsted Experimental Station, Harpenden.

References

Worked examples

Example 1 — a first encounter with Robert Wedderburn (statistician)

Start with the simplest possible case. Write down what Robert Wedderburn (statistician) 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 Robert Wedderburn (statistician) 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 Robert Wedderburn (statistician) 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 Robert Wedderburn (statistician)

In research: Robert Wedderburn (statistician) 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 Robert Wedderburn (statistician) 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: Robert Wedderburn (statistician) is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1947 births, 1975 deaths, 20th-century British statisticians, so understanding it makes those chapters shorter.
In everyday life: Look for Robert Wedderburn (statistician) 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 “Robert Wedderburn (statistician)” →

Affiliate

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

How to study Robert Wedderburn (statistician) in 20 minutes

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

Frequently asked questions

What is Robert Wedderburn (statistician) in simple terms?

Why does Robert Wedderburn (statistician) 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 Robert Wedderburn (statistician)?

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 Robert Wedderburn (statistician).