mathematics

Statistical Science

Statistical Science 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 Statistical Science rather than just read about it. In short: Statistical Science is a review journal published by the Institute of Mathematical Statistics, headquartered in Shaker Heights, Ohio, United States. The founding editor was Morris H.

Key takeaways

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

Reference excerpt

Statistical Science is a review journal published by the Institute of Mathematical Statistics, headquartered in Shaker Heights, Ohio, United States. The founding editor was Morris H. DeGroot, who explained the mission of the journal in his 1986 editorial: "A central purpose of Statistical Science is to convey the richness, breadth and unity of the field by presenting the full range of contemporary statistical thought at a modest technical level accessible to the wide community of practitioners, teachers, researchers and students of statistics and probability."

Editors 2023–2025 Moulinath Banerjee 2020–2022 Sonia Petrone 2017–2019 Cun-Hui Zhang 2014–2016 Peter Green 2011–2013 Jon Wellner 2008–2010 David Madigan 2005–2007 Ed George 2002–2004 George Casella 2001 Morris Eaton 2001 Richard Tweedie 1998–2000 Leon Gleser 1995–1997 Paul Switzer 1992–1994 Robert E. Kass 1989–1991 Carl N. Morris 1985–1989 Morris H. DeGroot

References

Further reading "Guidelines for Writing for Statistical Science" (PDF), Statistical Science, 9 (4): 591, 1994, JSTOR 2246259, retrieved 28 May 2016

External links Statistical Science home page

Worked examples

Example 1 — a first encounter with Statistical Science

Start with the simplest possible case. Write down what Statistical Science 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 Statistical Science 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 Statistical Science 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 Statistical Science

In research: Statistical Science 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 Statistical Science 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: Statistical Science is common in secondary-school and first-year university syllabi. It links to neighbouring topics Academic journals established in 1986, English-language journals, Institute of Mathematical Statistics academic journals, so understanding it makes those chapters shorter.
In everyday life: Look for Statistical Science 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 Statistical Science in 20 minutes

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

Frequently asked questions

What is Statistical Science in simple terms?

Statistical Science is a review journal published by the Institute of Mathematical Statistics, headquartered in Shaker Heights, Ohio, United States. The founding editor was Morris H.

Why does Statistical Science 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 Statistical Science?

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 Statistical Science.